Bilayer Structure and Lipid Dynamics in a Model Stratum Corneum...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Bilayer Structure and Lipid Dynamics in a Model Stratum Corneum with Oleic Acid. Bilayer Structure and Lipid Dynamics in a Model Stratum Corneum with Oleic Acid. Abstract: The...
A study of bias in variance estimation with one unit per stratum
Kieffer, Grace Kloor
1967-01-01T23:59:59.000Z
for a line fit, k = 2, for number of strata, L = 5-15, and for a parabola, k = 3, for number of strata, L ~ 'B-15. i. 5 K 2 C INVERSE 0 IC91379E 02 -0 3568964E 01 -0 ~ 3568964E Cl 0 32198278 Ol -0 29310icE 00 -0. 3448277E-OL 0. 1431034f ol -0.... 5301722E 00 -0 /GH6205E 01 0. 1431034E 01 0 2931D35E-00 -0 3448273f-Ol 0 1603448f Dl -0 3448275E-OI -0 29\\1035E-00 0, 14 3 10 34E 0 I -0 5301722E 00 -0, 344827dE-DL 0. 3219827E Ol -0 3568965E 0 I -0, 40862OSE 01 0, 1431034E Ol -0 ' 293103/E-00 -o...
Water permeation through stratum corneum lipid bilayers from atomistic simulations
Chinmay Das; Peter D. Olmsted; Massimo G. Noro
2009-07-09T23:59:59.000Z
Stratum corneum, the outermost layer of skin, consists of keratin filled rigid non-viable corneocyte cells surrounded by multilayers of lipids. The lipid layer is responsible for the barrier properties of the skin. We calculate the excess chemical potential and diffusivity of water as a function of depth in lipid bilayers with compositions representative of the stratum corneum using atomistic molecular dynamics simulations. The maximum in the excess free energy of water inside the lipid bilayers is found to be twice that of water in phospholipid bilayers at the same temperature. Permeability, which decreases exponentially with the free energy barrier, is reduced by several orders of magnitude as compared to with phospholipid bilayers. The average time it takes for a water molecule to cross the bilayer is calculated by solving the Smoluchowski equation in presence of the free energy barrier. For a bilayer composed of a 2:2:1 molar ratio of ceramide NS 24:0, cholesterol and free fatty acid 24:0 at 300K, we estimate the permeability P=3.7e-9 cm/s and the average crossing time \\tau_{av}=0.69 ms. The permeability is about 30 times smaller than existing experimental results on mammalian skin sections.
Stratum Approaches to Temporal DBMS Implementation Kristian Torp Christian S. Jensen
Snodgrass, Richard T.
Stratum Approaches to Temporal DBMS Implementation Kristian Torp Christian S. Jensen Department temporal DBMSs have assumed that a temporal DBMS must be built from scratch, employing an integrated a temporal DBMS as a stratum on top of an existing non-temporal DBMS, rendering implementation more feasible
Moster, Benjamin P.; Rix, Hans-Walter [Max-Planck-Institut fuer Astronomie, Koenigstuhl 17, 69117 Heidelberg (Germany); Somerville, Rachel S. [Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218 (United States); Newman, Jeffrey A., E-mail: moster@mpia.de, E-mail: rix@mpia.de, E-mail: somerville@stsci.edu, E-mail: janewman@pitt.edu [Department of Physics and Astronomy, University of Pittsburgh, 3941 O'Hara Street, Pittsburgh, PA 15260 (United States)
2011-04-20T23:59:59.000Z
Deep pencil beam surveys (<1 deg{sup 2}) are of fundamental importance for studying the high-redshift universe. However, inferences about galaxy population properties (e.g., the abundance of objects) are in practice limited by 'cosmic variance'. This is the uncertainty in observational estimates of the number density of galaxies arising from the underlying large-scale density fluctuations. This source of uncertainty can be significant, especially for surveys which cover only small areas and for massive high-redshift galaxies. Cosmic variance for a given galaxy population can be determined using predictions from cold dark matter theory and the galaxy bias. In this paper, we provide tools for experiment design and interpretation. For a given survey geometry, we present the cosmic variance of dark matter as a function of mean redshift z-bar and redshift bin size {Delta}z. Using a halo occupation model to predict galaxy clustering, we derive the galaxy bias as a function of mean redshift for galaxy samples of a given stellar mass range. In the linear regime, the cosmic variance of these galaxy samples is the product of the galaxy bias and the dark matter cosmic variance. We present a simple recipe using a fitting function to compute cosmic variance as a function of the angular dimensions of the field, z-bar , {Delta}z, and stellar mass m{sub *}. We also provide tabulated values and a software tool. The accuracy of the resulting cosmic variance estimates ({delta}{sigma}{sub v}/{sigma}{sub v}) is shown to be better than 20%. We find that for GOODS at z-bar =2 and with {Delta}z = 0.5, the relative cosmic variance of galaxies with m{sub *}>10{sup 11} M{sub sun} is {approx}38%, while it is {approx}27% for GEMS and {approx}12% for COSMOS. For galaxies of m{sub *} {approx} 10{sup 10} M{sub sun}, the relative cosmic variance is {approx}19% for GOODS, {approx}13% for GEMS, and {approx}6% for COSMOS. This implies that cosmic variance is a significant source of uncertainty at z-bar =2 for small fields and massive galaxies, while for larger fields and intermediate mass galaxies, cosmic variance is less serious.
The effect of stratum thickness ratio on crossflow in a stratified petroleum reservoir
Kereluk, Michael Joseph
1966-01-01T23:59:59.000Z
THE EFFECT OF STRATUM THICKNESS RATIO ON CROSSFLOW IN A STRATIFIED PETROLEUM RESERVOIR A Thesis By Michael J. Kereluk Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE May 4966 Major Subject: Petroleum Engineering THE EFFECT OF STRATUM THICKNESS RATIO ON CROSSFLOW IN A STRATIFIED PETROLEUM RESERVOIR A Thesis By Michael I. Kereluk Approved as to style and content by: Chazrma of Com 'ttee...
The effect of stratum thickness ratio on crossflow in a stratified petroleum reservoir
Kereluk, Michael Joseph
1966-01-01T23:59:59.000Z
THE EFFECT OF STRATUM THICKNESS RATIO ON CROSSFLOW IN A STRATIFIED PETROLEUM RESERVOIR A Thesis By Michael J. Kereluk Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE May 4966 Major Subject: Petroleum Engineering THE EFFECT OF STRATUM THICKNESS RATIO ON CROSSFLOW IN A STRATIFIED PETROLEUM RESERVOIR A Thesis By Michael I. Kereluk Approved as to style and content by: Chazrma of Com 'ttee...
The Wavelet Variance, Allan Variance and Leakage David A. Howe
Percival, Don
The Wavelet Variance, Allan Variance and Leakage by David A. Howe Time and Frequency Division)--543--1300 FAX: (206)--543--6785 Contribution of the U. S. Government, not subject to copyright. #12; Abstract---Wavelets. The discrete wavelet transform can be used to decompose a time series with respect to a set of basis functions
Broader source: Energy.gov [DOE]
Approval of a Permanenet Variance Regarding Static Magnetic Fields at Brookhaven National Laboratory (Variance 1021)
Liberating genetic variance through sex
Otto, Sarah
Liberating genetic variance through sex Andrew D. Peters and Sarah P. Otto* Summary Genetic of reproduction. Indeed, it has long been thought that sex enhances fitness variation and that this explains that sex need not always increase genetic variation in fitness. In particular, if fitness interactions
Broader source: Energy.gov [DOE]
Approval of a Permanenet Variance Regarding Static Magnetic Fields at Brookhaven National Laboratory (Variance 1021)
CONFIDENTIALITY AND VARIANCE ESTIMATION IN COMPLEX SURVEYS
Brennand, Tracy
is the conflict of interest between in- formation sharing and disclosure control. Statistical agencies routinelyCONFIDENTIALITY AND VARIANCE ESTIMATION IN COMPLEX SURVEYS by Wen Wilson Lu M.Sc., Simon Fraser of Philosophy Title of thesis: Confidentiality and Variance Estimation in Complex Surveys Examining Committee
The Variance Profile Alessandra LUATI, Tommaso PROIETTI, and Marco REALE
Reale, Marco
The Variance Profile Alessandra LUATI, Tommaso PROIETTI, and Marco REALE The variance profile), the unconditional variance (arithmetic mean, p = 1), and the maximum of the spectrum (p ). The variance profile of the variance profile based on the power mean of the smoothed sample spectrum, and proves its consistency
Inhomogeneity-induced variance of cosmological parameters
Alexander Wiegand; Dominik J. Schwarz
2012-02-18T23:59:59.000Z
Modern cosmology relies on the assumption of large-scale isotropy and homogeneity of the Universe. However, locally the Universe is inhomogeneous and anisotropic. So, how can local measurements (at the 100 Mpc scale) be used to determine global cosmological parameters (defined at the 10 Gpc scale)? We use Buchert's averaging formalism and determine a set of locally averaged cosmological parameters in the context of the flat Lambda cold dark matter model. We calculate their ensemble means (i.e. their global values) and variances (i.e. their cosmic variances). We apply our results to typical survey geometries and focus on the study of the effects of local fluctuations of the curvature parameter. By this means we show, that in the linear regime cosmological backreaction and averaging can be reformulated as the issue of cosmic variance. The cosmic variance is found largest for the curvature parameter and discuss some of its consequences. We further propose to use the observed variance of cosmological parameters to measure the growth factor. [abbreviated
Reproducible Surface Extraction for Variance Comparison in
Reproducible Surface Extraction for Variance Comparison in 3D Computed Tomography Christoph Heinzl1 surfaces models from distorted volume datasets in 3D computed tomography (3D-CT). As all 3D-CT datasets common 3D image processing filters: First of all we use an edge preserving diffusion filter to reduce
Mean Variance: HJB Numerical Solution of the
Forsyth, Peter A.
to the optimal policy Example: investor who seeks to maximize wealth/income ratio at retirement With realistic Accumulation We consider an investor who seeks to maximize the ratio of accumulated wealth to their annual Variance: HJB Wealth to Income Ratio: II The investor contributes into the pension plan account at a rate
The Parabolic variance (PVAR), a wavelet variance based on least-square fit
Vernotte, F; Bourgeois, P -Y; Rubiola, E
2015-01-01T23:59:59.000Z
The Allan variance (AVAR) is one option among the wavelet variances. However a milestone in the analysis of frequency fluctuations and in the long-term stability of clocks, and certainly the most widely used one, AVAR is not suitable when fast noise processes show up, chiefly because of the poor rejection of white phase noise. The modified Allan variance (MVAR) features high resolution in the presence of white PM noise, but it is poorer for slow phenomena because the wavelet spans over 50% longer time. This article introduces the Parabolic Variance (PVAR), a wavelet variance similar to the Allan variance, based on the Linear Regression (LR) of phase data. The PVAR relates to the Omega frequency counter, which is the topics of a companion article [the reference to the article, or to the ArXiv manuscript, will be provided later]. The PVAR wavelet spans over 2 tau, the same of the AVAR wavelet. After setting the theoretical framework, we analyze the degrees of freedom and the detection of weak noise processes in...
Yield, variance and spatial distribution of electronhole...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Yield, variance and spatial distribution of electronhole pairs in CsI. Yield, variance and spatial distribution of electronhole pairs in CsI. Abstract: A Monte Carlo...
Optimization Online - Efficient Cardinality/Mean-Variance Portfolios
R. P. Brito
2012-03-03T23:59:59.000Z
Mar 3, 2012 ... Efficient Cardinality/Mean-Variance Portfolios. R. P. Brito(rpedro.brito ***at*** gmail.com) L. N. Vicente(lnv ***at*** mat.uc.pt). Abstract: A ...
Honest Confidence Intervals for the Error Variance in Stepwise Regression
Stine, Robert A.
Honest Confidence Intervals for the Error Variance in Stepwise Regression Dean P. Foster and Robert alternatives are used. These simpler algorithms (e.g., forward or backward stepwise regression) obtain
Quantum Fisher Information as the Convex Roof of Variance
Sixia Yu
2013-02-21T23:59:59.000Z
Quantum Fisher information places the fundamental limit to the accuracy of estimating an unknown parameter. Here we shall provide the quantum Fisher information an operational meaning: a mixed state can be so prepared that a given observable has the minimal averaged variance, which equals exactly to the quantum Fisher information for estimating an unknown parameter generated by the unitary dynamics with the given observable as Hamiltonian. In particular we shall prove that the quantum Fisher information is the convex roof of the variance, as conjectured by Toth and Petz based on numerical and analytical evidences, by constructing explicitly a pure-state ensemble of the given mixed state in which the averaged variance of a given observable equals to the quantum Fisher information.
Cooperative Behavior in Coupled Simulated Annealing Processes with Variance Control
due to the introduction of coupling in the acceptance prob- ability functions. Moreover, the coupling also allows con- troling the variance of the acceptance probabilities. This is especially important to aid gradient based methods to escape from local minima [8]. In that ap- proach, coupling of local
Blind separation of sources that have spatiotemporal variance dependencies
HyvĆ¤rinen, Aapo
Helsinki Institute for Information Technology, Basic Research Unit, Dept of Computer Science, University of HelsinkiĀ£ . Now Helsinki Institute for Information Technology / BRU, P.O.Box 26, FIN-00014 University of HelsinkiBlind separation of sources that have spatiotemporal variance dependencies Aapo HyvĀØarinen a b
Blind separation of sources that have spatiotemporal variance dependencies
HyvĆ¤rinen, Aapo
Institute for Information Technology, Basic Research Unit, Dept of Computer Science, University of Helsinki; Helsinki Institute for Information Technology / BRU, P.O.Box 26, FINĀ00014 University of Helsinki, FaxBlind separation of sources that have spatiotemporal variance dependencies Aapo HyvĖ? arinen a;b;#3
EFFICIENCY IMPROVEMENT AND VARIANCE REDUCTION Pierre L'Ecuyer
Vįzquez-Abad, Felisa J.
EFFICIENCY IMPROVEMENT AND VARIANCE REDUCTION Pierre L'Ecuyer D'epartement d'IRO Universit'e de techniques for im proving the statistical efficiency of simulation esti mators. Efficiency improvement survey the recent literature on this topic. 1. INTRODUCTION 1.1. A Notion of Efficiency Stochastic
Variance analysis in the quality control of ready mixed concrete in a major structure
Valle Aguilar, Jorge Luis
1984-01-01T23:59:59.000Z
of strength variations in concrete Fly ash in ready mixed concrete Statistical Inference Hypothesis testing . Analysis of variance Duality control charts Linear regression and correlation Page 10 12 15 17 18 19 20 22 24 24 24 26 27 CHAPTER... Comparison of variances (o') for different ready mixed plants Comparison of means (X) and variances (o'). Comparison of means (7J) and variances (o') for various mix designs, f'c = 3000 psi Comparison of means (X) and variances (o') for mix designs...
Non-local bispectra from super cosmic variance
Bayta?, Bekir; Nelson, Elliot; Park, Sohyun; Shandera, Sarah
2015-01-01T23:59:59.000Z
We present examples of non-Gaussian statistics that can induce bispectra matching local and non-local (including equilateral) templates in biased sub-volumes. We find cases where the biasing from coupling to long wavelength modes affects only the power spectrum, only the bispectrum or both. Our results suggest that ruling out multi-field scenarios is quite difficult: some measurements of the scalar correlations, including the shape of the bispectrum, can be consistent with single-clock predictions even when cosmic variance from super-horizon modes is at work. Furthermore, if observations of the density perturbations rule out single-clock inflation, we will face a serious cosmic variance obstacle in drawing any further conclusions about the particle physics origin of the scalar fluctuations.
Fringe biasing: A variance reduction technique for optically thick meshes
Smedley-Stevenson, R. P. [AWE PLC, Aldermaston Reading, Berkshire, RG7 4PR (United Kingdom)
2013-07-01T23:59:59.000Z
Fringe biasing is a stratified sampling scheme applicable to Monte Carlo thermal radiation transport codes. The thermal emission source in optically thick cells is partitioned into separate contributions from the cell interiors (where the likelihood of the particles escaping the cells is virtually zero) and the 'fringe' regions close to the cell boundaries. Thermal emission in the cell interiors can now be modelled with fewer particles, the remaining particles being concentrated in the fringes so that they are more likely to contribute to the energy exchange between cells. Unlike other techniques for improving the efficiency in optically thick regions (such as random walk and discrete diffusion treatments), fringe biasing has the benefit of simplicity, as the associated changes are restricted to the sourcing routines with the particle tracking routines being unaffected. This paper presents an analysis of the potential for variance reduction achieved from employing the fringe biasing technique. The aim of this analysis is to guide the implementation of this technique in Monte Carlo thermal radiation codes, specifically in order to aid the choice of the fringe width and the proportion of particles allocated to the fringe (which are interrelated) in multi-dimensional simulations, and to confirm that the significant levels of variance reduction achieved in simulations can be understood by studying the behaviour for simple test cases. The variance reduction properties are studied for a single cell in a slab geometry purely absorbing medium, investigating the accuracy of the scalar flux and current tallies on one of the interfaces with the surrounding medium. (authors)
Cosmic variance of the spectral index from mode coupling
Bramante, Joseph; Kumar, Jason [Department of Physics and Astronomy, University of Hawaii, 2505 Correa Rd., Honolulu HI (United States); Nelson, Elliot; Shandera, Sarah, E-mail: bramante@hawaii.edu, E-mail: jkumar@hawaii.edu, E-mail: eln121@psu.edu, E-mail: shandera@gravity.psu.edu [Institute for Gravitation and the Cosmos, The Pennsylvania State University, University Park, PA 16802 (United States)
2013-11-01T23:59:59.000Z
We demonstrate that local, scale-dependent non-Gaussianity can generate cosmic variance uncertainty in the observed spectral index of primordial curvature perturbations. In a universe much larger than our current Hubble volume, locally unobservable long wavelength modes can induce a scale-dependence in the power spectrum of typical subvolumes, so that the observed spectral index varies at a cosmologically significant level (|?n{sub s}| ? O(0.04)). Similarly, we show that the observed bispectrum can have an induced scale dependence that varies about the global shape. If tensor modes are coupled to long wavelength modes of a second field, the locally observed tensor power and spectral index can also vary. All of these effects, which can be introduced in models where the observed non-Gaussianity is consistent with bounds from the Planck satellite, loosen the constraints that observations place on the parameters of theories of inflation with mode coupling. We suggest observational constraints that future measurements could aim for to close this window of cosmic variance uncertainty.
Variance of the quantum dwell time for a nonrelativistic particle
Hahne, G. E. [NASA/Ames Research Center, M. S. 258-6, Moffett Field, California 94035 (United States)] [NASA/Ames Research Center, M. S. 258-6, Moffett Field, California 94035 (United States)
2013-01-15T23:59:59.000Z
Munoz, Seidel, and Muga [Phys. Rev. A 79, 012108 (2009)], following an earlier proposal by Pollak and Miller [Phys. Rev. Lett. 53, 115 (1984)] in the context of a theory of a collinear chemical reaction, showed that suitable moments of a two-flux correlation function could be manipulated to yield expressions for the mean quantum dwell time and mean square quantum dwell time for a structureless particle scattering from a time-independent potential energy field between two parallel lines in a two-dimensional spacetime. The present work proposes a generalization to a charged, nonrelativistic particle scattering from a transient, spatially confined electromagnetic vector potential in four-dimensional spacetime. The geometry of the spacetime domain is that of the slab between a pair of parallel planes, in particular, those defined by constant values of the third (z) spatial coordinate. The mean Nth power, N= 1, 2, 3, Horizontal-Ellipsis , of the quantum dwell time in the slab is given by an expression involving an N-flux-correlation function. All these means are shown to be nonnegative. The N= 1 formula reduces to an S-matrix result published previously [G. E. Hahne, J. Phys. A 36, 7149 (2003)]; an explicit formula for N= 2, and of the variance of the dwell time in terms of the S-matrix, is worked out. A formula representing an incommensurability principle between variances of the output-minus-input flux of a pair of dynamical variables (such as the particle's time flux and others) is derived.
Wu, Alan HB
2011-01-01T23:59:59.000Z
this article as: Wu: Drug metabolizing enzyme activitiesgenetic variances for drug of clinical pharmacogenomicPROTEOMICS Open Access Drug metabolizing enzyme activities
Frequency domain phase-resolved optical Doppler and Doppler variance tomography
Chen, Zhongping
), is capable of measuring micro- flows using the optical Doppler effect [1,2]. Early ODT systems were unableFrequency domain phase-resolved optical Doppler and Doppler variance tomography Lei Wang a phase-resolved optical Doppler tomography (ODT) was developed with Doppler variance imag- ing capability
Renewal theory for random variables with a heavy tailed distribution and finite variance
Yanikoglu, Berrin
Renewal theory for random variables with a heavy tailed distribution and finite variance J. L class of heavy tailed random variables with a finite variance the renewal function U satisfies U(x) - x µ - µ2 2µ2 - 1 µx x s (1 - F(u))duds as x . Keywords: Renewal function, Subexponentiality
How the Weak Variance of Momentum Can Turn Out to be Negative
Feyereisen, M R
2015-01-01T23:59:59.000Z
Weak values are average quantities,therefore investigating their associated variance is crucial in understanding their place in quantum mechanics. We develop the concept of a position-postselected weak variance of momentum as cohesively as possible, building primarily on material from Moyal (Mathematical Proceedings of the Cambridge Philosophical Society, Cambridge University Press, Cambridge, 1949) and Sonego (Found Phys 21(10):1135, 1991) . The weak variance is defined in terms of the Wigner function, using a standard construction from probability theory. We show this corresponds to a measurable quantity, which is not itself a weak value. It also leads naturally to a connection between the imaginary part of the weak value of momentum and the quantum potential. We study how the negativity of the Wigner function causes negative weak variances, and the implications this has on a class of `subquantum' theories. We also discuss the role of weak variances in studying determinism, deriving the classical limit from...
How the Weak Variance of Momentum Can Turn Out to be Negative
M. R. Feyereisen
2015-03-25T23:59:59.000Z
Weak values are average quantities,therefore investigating their associated variance is crucial in understanding their place in quantum mechanics. We develop the concept of a position-postselected weak variance of momentum as cohesively as possible, building primarily on material from Moyal (Mathematical Proceedings of the Cambridge Philosophical Society, Cambridge University Press, Cambridge, 1949) and Sonego (Found Phys 21(10):1135, 1991) . The weak variance is defined in terms of the Wigner function, using a standard construction from probability theory. We show this corresponds to a measurable quantity, which is not itself a weak value. It also leads naturally to a connection between the imaginary part of the weak value of momentum and the quantum potential. We study how the negativity of the Wigner function causes negative weak variances, and the implications this has on a class of `subquantum' theories. We also discuss the role of weak variances in studying determinism, deriving the classical limit from a variational principle.
Permits and Variances for Solar Panels, Calculation of Impervious Cover (Maryland)
Broader source: Energy.gov [DOE]
In May 2012 Maryland enacted legislation stating that any calculation of "impervious surface" required by state or local authorities as part of a permit or variance relating to zoning, construction...
Lee, Yuan-Hsuan
2011-10-21T23:59:59.000Z
This dissertation focuses on issues related to fitting an optimal variance-covariance structure in multilevel linear modeling framework with two Monte Carlo simulation studies. In the first study, the author evaluated the ...
Transient Responses to Rapid Changes in Mean and Variance in Spiking Models
Khorsand, Peyman; Chance, Frances
2008-01-01T23:59:59.000Z
features of IF model responses to steps in input signals:neuron firing rates in response to steps in mean and noise.variance (see Decaying Response to Step Function). In the
Internal resistance variances in lithium-ion batteries and implications in manufacturing
Gogoana, Radu
2012-01-01T23:59:59.000Z
This thesis addresses issues in manufacturing that lead to cell DC internal resistance (DCIR) variance, provides an overview of generally accepted cell degradation mechanisms and modeling techniques associated with IR as ...
Liu, Gangjun; Qi, Wenjuan; Yu, Lingfeng; Chen, Zhongping
2011-01-01T23:59:59.000Z
The effect of sample movement on the color Doppler andmotion effect can be neglected here. The Doppler variance
Epistasis Is a Major Determinant of the Additive Genetic Variance in Mimulus guttatus
Monnahan, Patrick J.; Kelly, John K.
2015-05-11T23:59:59.000Z
to describe both the effects of individual genes as well as the genetic variance com- ponents of populations (additive, dominance, and epistatic). It has long been known that high additive genetic variance does not imply additive gene action [11], a conclusion... questions unanswered. For instance, do interac- tions among genes tend to increase or decrease VA of traits, on average? As allele frequencies change in response to selection, does epistasis accelerate or dampen the corresponding change in VA? For a...
THE COLUMN DENSITY VARIANCE IN TURBULENT INTERSTELLAR MEDIA: A FRACTAL MODEL APPROACH
Seon, Kwang-Il, E-mail: kiseon@kasi.re.kr [Korea Astronomy and Space Science Institute, Daejeon 305-348 (Korea, Republic of); Astronomy and Space Science Major, University of Science and Technology, Daejeon 305-350 (Korea, Republic of)
2012-12-20T23:59:59.000Z
Fractional Brownian motion structures are used to investigate the dependency of column density variance ({sigma}{sup 2}{sub lnN}) in the turbulent interstellar medium on the variance of three-dimensional density ({sigma}{sup 2}{sub ln{rho}}) and the power-law slope of the density power spectrum. We provide quantitative expressions to infer the three-dimensional density variance, which is not directly observable, from the observable column density variance and spectral slope. We also investigate the relationship between the column density variance and sonic Mach number (M{sub s}) in the hydrodynamic (HD) regime by assuming the spectral slope and density variance to be functions of sonic Mach number, as obtained from the HD turbulence simulations. They are related by the expression {sigma}{sup 2}{sub lnN} = A{sigma}{sub ln{rho}} {sup 2} = Aln (1 + b {sup 2} M{sup 2}{sub s}), suggested by Burkhart and Lazarian for the magnetohydrodynamic case. The proportional constant A varies from Almost-Equal-To 0.2 to Almost-Equal-To 0.4 in the HD regime as the turbulence forcing parameter b increases from 1/3 (purely solenoidal forcing) to 1 (purely compressive forcing). It is also discussed that the parameter A is lowered in the presence of a magnetic field.
Georg A. Gottwald; Lewis Mitchell; Sebastian Reich
2011-08-30T23:59:59.000Z
We consider the problem of an ensemble Kalman filter when only partial observations are available. In particular we consider the situation where the observational space consists of variables which are directly observable with known observational error, and of variables of which only their climatic variance and mean are given. To limit the variance of the latter poorly resolved variables we derive a variance limiting Kalman filter (VLKF) in a variational setting. We analyze the variance limiting Kalman filter for a simple linear toy model and determine its range of optimal performance. We explore the variance limiting Kalman filter in an ensemble transform setting for the Lorenz-96 system, and show that incorporating the information of the variance of some un-observable variables can improve the skill and also increase the stability of the data assimilation procedure.
A New Multivariate Variance Components Analysis for Genetic Analysis of DTI data Agatha D. Lee1
Thompson, Paul
A New Multivariate Variance Components Analysis for Genetic Analysis of DTI data Agatha D. Lee1 sample sizes. The method may be used for both univariate and multivariate data. We applied our analysis to both univariate and multivariate (tensor) measures derived from diffusion tensor images (DTI) of 25
Mean-Variance Optimal Linear Precoders for Random MISO Broadcast Channels
Lim, Teng Joon
Mean-Variance Optimal Linear Precoders for Random MISO Broadcast Channels Alon Shalev Housfater the problem of designing linear pre- coders for Gaussian multiple input, single output (MISO) broad- cast (BC and constraint functions. I. INTRODUCTION Random MISO BC channels are powerful models for the practical scenario
Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method
Rajnarayan, Dev
2008-01-01T23:59:59.000Z
In this paper, we examine the CE method in the broad context of Monte Carlo Optimization (MCO) and Parametric Learning (PL), a type of machine learning. A well-known overarching principle used to improve the performance of many PL algorithms is the bias-variance tradeoff. This tradeoff has been used to improve PL algorithms ranging from Monte Carlo estimation of integrals, to linear estimation, to general statistical estimation. Moreover, as described by, MCO is very closely related to PL. Owing to this similarity, the bias-variance tradeoff affects MCO performance, just as it does PL performance. In this article, we exploit the bias-variance tradeoff to enhance the performance of MCO algorithms. We use the technique of cross-validation, a technique based on the bias-variance tradeoff, to significantly improve the performance of the Cross Entropy (CE) method, which is an MCO algorithm. In previous work we have confirmed that other PL techniques improve the perfomance of other MCO algorithms. We conclude that ...
Schierup, Mikkel Heide
Correction for measurement error from genotyping-by-sequencing in genomic variance and genomic for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University Denmark DLF-Trfolium, Store Heddinge, Denmark CENTER FOR QUANTITATIVE GENETICS AND GENOMICS F2 F2 Simulate sequencing Genotype
THE VARIABILITY OF ESTIMATES OF VARIANCE, AND ITS EFFECT ON POWER ANALYSIS IN MONITORING DESIGN
Burgman, Mark
THE VARIABILITY OF ESTIMATES OF VARIANCE, AND ITS EFFECT ON POWER ANALYSIS IN MONITORING DESIGN; accepted 24 February 2001) Abstract. Power analysis can be a valuable aid in the design of monitoring% or more in 43% of cases, in turn leading to under or over-estimation of sample size in the design
Wood, Robert
Infrared Sounder (AIRS) are compared to those generated by state-of-the-art numerical weather prediction controlling cloud processes at the subgrid scale in NWP and climate models (Cusack et al. 1999; Tompkins 2002Temperature and Water Vapor Variance Scaling in Global Models: Comparisons to Satellite
Wai, Ping-kong Alexander
in a transparent environment and permitting monitoring at optical nodes without coherent reception. Various optical Monitoring Based on Variance of Received Optical Power Linghao Cheng, Zhaohui Li, Chao Lu, Alan Pak Tao Lau dispersion monitoring based on average variance of optical power has been demonstrated. Theoretical analyses
Measuring switching processes in financial markets with the Mean-Variance spin glass approach
Jurczyk, Jan
2015-01-01T23:59:59.000Z
In this article we use the Mean-Variance Model in order to measure the current market state. In our study we take the approach of detecting the overall alignment of portfolios in the spin picture. The projection to the ground-states enables us to use physical observables in order to describe the current state of the explored market. The defined magnetization of portfolios shows cursor effects, which we use to detect turmoils.
Liu, Qinyan
2005-08-29T23:59:59.000Z
...................................................... 30 1 CHAPTER I INTRODUCTION Dimensional integrity is a major quality concern in many discrete-part manufacturing processes. In the automotive and aviation industries, for instance, dimensional problems contribute to about two... of the requirements for the degree of MASTER OF SCIENCE May 2004 Major Subject: Industrial Engineering OPTIMAL COORDINATE SENSOR PLACEMENTS FOR ESTIMATING MEAN AND VARIANCE COMPONENTS OF VARIATION SOURCES A Thesis by QINYAN LIU...
Structure analysis of simulated molecular clouds with the Delta-variance
Bertram, Erik; Glover, Simon C O
2015-01-01T23:59:59.000Z
We employ the Delta-variance analysis and study the turbulent gas dynamics of simulated molecular clouds (MCs). Our models account for a simplified treatment of time-dependent chemistry and the non-isothermal nature of the gas. We investigate simulations using three different initial mean number densities of n_0 = 30, 100 and 300 cm^{-3} that span the range of values typical for MCs in the solar neighbourhood. Furthermore, we model the CO line emission in a post-processing step using a radiative transfer code. We evaluate Delta-variance spectra for centroid velocity (CV) maps as well as for integrated intensity and column density maps for various chemical components: the total, H2 and 12CO number density and the integrated intensity of both the 12CO and 13CO (J = 1 -> 0) lines. The spectral slopes of the Delta-variance computed on the CV maps for the total and H2 number density are significantly steeper compared to the different CO tracers. We find slopes for the linewidth-size relation ranging from 0.4 to 0....
A Model-Free No-arbitrage Price Bound for Variance Options
Bonnans, J. Frederic, E-mail: frederic.bonnans@inria.fr [Ecole Polytechnique, INRIA-Saclay (France); Tan Xiaolu, E-mail: xiaolu.tan@polytechnique.edu [Ecole Polytechnique, CMAP (France)
2013-08-01T23:59:59.000Z
We suggest a numerical approximation for an optimization problem, motivated by its applications in finance to find the model-free no-arbitrage bound of variance options given the marginal distributions of the underlying asset. A first approximation restricts the computation to a bounded domain. Then we propose a gradient projection algorithm together with the finite difference scheme to solve the optimization problem. We prove the general convergence, and derive some convergence rate estimates. Finally, we give some numerical examples to test the efficiency of the algorithm.
Broader source: Energy.gov [DOE]
Request for Concurrence on Three Temporary Variance Applications Regarding Fire Protection and Pressure Safety at the Oak Ridge National Laboratory
Rate increase in chemical reaction and its variance under turbulent equilibrium
Shunichi Tsuge
2000-01-27T23:59:59.000Z
As contrast to the Maxwellian distribution, equilibrium distribution of the second kind or turbulent equilibrium is shown to exist under tertiary molecular chaos hypothesis to replace the classical binary chaos by Boltzmann. It is expressed as bimodal Maxwellians each mode differing by plus/minus root-mean-squares of fluctuations in macroscopic variables. Chemical reaction rates calculated using the turbulent-equilibrium are obtained in a closed form, accounting for discrepancy between experiments and classical theory based on Arrhenius' law that underestimates the burning rate considerably. The key issue is the correct estimation of the high-energy tail of the distribution function that is minor in population, yet playing a major role for reactions with high activation energy. It is extremely sensitive to turbulence level in the temperature, causing slightly subcritical molecules to clear the potential barrier to cause reactions just like quantum particles undergoing tunnelling effect owing to the uncertainty principle. Variance of the fluctuating turbulent chemical reaction rate is also calculated, verifying that relative variance based on the turbulent equilibrium is low, whereas its classical counterpart (Arrhenius) is pathologically high. A closed set of equations governing reactive turbulent gases is presented on this sound basis.
No-migration variance petition: Draft. Volume 4, Appendices DIF, GAS, GCR (Volume 1)
NONE
1995-05-31T23:59:59.000Z
The Department of Energy is responsible for the disposition of transuranic (TRU) waste generated by national defense-related activities. Approximately 2.6 million cubic feet of the se waste have been generated and are stored at various facilities across the country. The Waste Isolation Pilot Plant (WIPP), was sited and constructed to meet stringent disposal requirements. In order to permanently dispose of TRU waste, the DOE has elected to petition the US EPA for a variance from the Land Disposal Restrictions of RCRA. This document fulfills the reporting requirements for the petition. This report is volume 4 of the petition which presents details about the transport characteristics across drum filter vents and polymer bags; gas generation reactions and rates during long-term WIPP operation; and geological characterization of the WIPP site.
Takahiro Mizusaki; Noritaka Shimizu
2012-01-27T23:59:59.000Z
We propose a new variational Monte Carlo (VMC) method with an energy variance extrapolation for large-scale shell-model calculations. This variational Monte Carlo is a stochastic optimization method with a projected correlated condensed pair state as a trial wave function, and is formulated with the M-scheme representation of projection operators, the Pfaffian and the Markov-chain Monte Carlo (MCMC). Using this method, we can stochastically calculate approximated yrast energies and electro-magnetic transition strengths. Furthermore, by combining this VMC method with energy variance extrapolation, we can estimate exact shell-model energies.
Waste Isolation Pilot Plant No-Migration Variance Petition. Revision 1, Volume 1
Hunt, Arlen
1990-03-01T23:59:59.000Z
The purpose of the WIPP No-Migration Variance Petition is to demonstrate, according to the requirements of RCRA {section}3004(d) and 40 CFR {section}268.6, that to a reasonable degree of certainty, there will be no migration of hazardous constituents from the facility for as long as the wastes remain hazardous. The DOE submitted the petition to the EPA in March 1989. Upon completion of its initial review, the EPA provided to DOE a Notice of Deficiencies (NOD). DOE responded to the EPA`s NOD and met with the EPA`s reviewers of the petition several times during 1989. In August 1989, EPA requested that DOE submit significant additional information addressing a variety of topics including: waste characterization, ground water hydrology, geology and dissolution features, monitoring programs, the gas generation test program, and other aspects of the project. This additional information was provided to EPA in January 1990 when DOE submitted Revision 1 of the Addendum to the petition. For clarity and ease of review, this document includes all of these submittals, and the information has been updated where appropriate. This document is divided into the following sections: Introduction, 1.0: Facility Description, 2.0: Waste Description, 3.0; Site Characterization, 4.0; Environmental Impact Analysis, 5.0; Prediction and Assessment of Infrequent Events, 6.0; and References, 7.0.
Bush, B.; Jenkin, T.; Lipowicz, D.; Arent, D. J.; Cooke, R.
2012-01-01T23:59:59.000Z
Does large scale penetration of renewable generation such as wind and solar power pose economic and operational burdens on the electricity system? A number of studies have pointed to the potential benefits of renewable generation as a hedge against the volatility and potential escalation of fossil fuel prices. Research also suggests that the lack of correlation of renewable energy costs with fossil fuel prices means that adding large amounts of wind or solar generation may also reduce the volatility of system-wide electricity costs. Such variance reduction of system costs may be of significant value to consumers due to risk aversion. The analysis in this report recognizes that the potential value of risk mitigation associated with wind generation and natural gas generation may depend on whether one considers the consumer's perspective or the investor's perspective and whether the market is regulated or deregulated. We analyze the risk and return trade-offs for wind and natural gas generation for deregulated markets based on hourly prices and load over a 10-year period using historical data in the PJM Interconnection (PJM) from 1999 to 2008. Similar analysis is then simulated and evaluated for regulated markets under certain assumptions.
Gottwald, Georg A.
Controlling Overestimation of Error Covariance in Ensemble Kalman Filters with Sparse Observations: A Variance-Limiting Kalman Filter GEORG A. GOTTWALD AND LEWIS MITCHELL School of Mathematics and Statistics of an ensemble Kalman filter when only partial observations are available is considered. In particular
Broader source: Energy.gov [DOE]
Memorandum Request for Concurrence on firee Temporary Variance Applications Regarding Fire Protection and Pressure Safety at the Oak Ridge National Laboratory
Broader source: Energy.gov [DOE]
Approval of a Permanent Variance Regarding Fire Safety in Selected Areas of 221-H Canyon at the Savannah River Site UNDER SECRETARY OF ENERGY
Broader source: Energy.gov [DOE]
Approval of a Permanent Variance Regarding Sprinklers and Fire Boundaries in Selected Areas of 22 1 -H Canyon at the Savannah River Site
SU-E-T-41: Analysis of GI Dose Variability Due to Intrafraction Setup Variance
Phillips, J; Wolfgang, J [Massachusetts General Hospital, Boston, MA (United States)
2014-06-01T23:59:59.000Z
Purpose: Proton SBRT (stereotactic body radiation therapy) can be an effective modality for treatment of gastrointestinal tumors, but limited in practice due to sensitivity with respect to variation in the RPL (radiological path length). Small, intrafractional shifts in patient anatomy can lead to significant changes in the dose distribution. This study describes a tool designed to visualize uncertainties in radiological depth in patient CT's and aid in treatment plan design. Methods: This project utilizes the Shadie toolkit, a GPU-based framework that allows for real-time interactive calculations for volume visualization. Current SBRT simulation practice consists of a serial CT acquisition for the assessment of inter- and intra-fractional motion utilizing patient specific immobilization systems. Shadie was used to visualize potential uncertainties, including RPL variance and changes in gastric content. Input for this procedure consisted of two patient CT sets, contours of the desired organ, and a pre-calculated dose. In this study, we performed rigid registrations between sets of 4DCT's obtained from a patient with varying setup conditions. Custom visualizations are written by the user in Shadie, permitting one to create color-coded displays derived from a calculation along each ray. Results: Serial CT data acquired on subsequent days was analyzed for variation in RPB and gastric content. Specific shaders were created to visualize clinically relevant features, including RPL (radiological path length) integrated up to organs of interest. Using pre-calculated dose distributions and utilizing segmentation masks as additional input allowed us to further refine the display output from Shadie and create tools suitable for clinical usage. Conclusion: We have demonstrated a method to visualize potential uncertainty for intrafractional proton radiotherapy. We believe this software could prove a useful tool to guide those looking to design treatment plans least insensitive to motion for patients undergoing proton SBRT in the GI tract.
Dina Chernikova; Kåre Axell; Senada Avdic; Imre Pįzsit; Anders Nordlund
2015-01-23T23:59:59.000Z
Two versions of the neutron-gamma variance to mean (Feynman-alpha method or Feynman-Y function) formula for either gamma detection only or total neutron-gamma detection, respectively, are derived and compared in this paper. The new formulas have a particular importance for detectors of either gamma photons or detectors sensitive to both neutron and gamma radiation. If applied to a plastic or liquid scintillation detector, the total neutron-gamma detection Feynman-Y expression corresponds to a situation where no discrimination is made between neutrons and gamma particles. The gamma variance to mean formulas are useful when a detector of only gamma radiation is used or when working with a combined neutron-gamma detector at high count rates. The theoretical derivation is based on the Chapman-Kolmogorov equation with inclusion of general reactions and passage intensities for neutrons and gammas, but with the inclusion of prompt reactions only. A one energy group approximation is considered. The comparison of the two different theories is made by using reaction intensities obtained in MCNPX simulations with a simplified geometry for two scintillation detectors and a 252Cf-source enclosed in a steel container. In addition, the variance to mean ratios, neutron, gamma and total neutron-gamma, are evaluated experimentally for a weak 252Cf neutron-gamma source in a steel container, a 137Cs random gamma source and a 22Na correlated gamma source. Due to the focus being on the possibility of using neutron-gamma variance to mean theories for both reactor and safeguards applications, we limited the present study to the general analytical expressions for Feynman-Y formulas.
Cavalié, Olivier
2015-01-01T23:59:59.000Z
The Allan variance was introduced fifty years ago for analyzing the stability of frequency standards. Beside its metrological interest, it is also an estimator of the large trends of the power spectral density (PSD) of frequency deviation. For instance, the Allan variance is able to discriminate different types of noise characterized by different power laws in the PSD. But, it was also used in other fields: accelerometry, geophysics, geodesy, astrophysics and even finances! However, it seems that up to now, it has been exclusively applied for time series analysis. We propose here to use the Allan variance onto spatial data. Interferometric synthetic aperture radar (InSAR) is used in geophysics to image ground displacements in space (over the SAR image spatial coverage) and in time thank to the regular SAR image acquisitions by dedicated satellites. The main limitation of the technique is the atmospheric disturbances that affect the radar signal while traveling from the sensor to the ground and back. In this p...
Occupational Medicine Variance Request
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (Million Cubic Feet) Natural GasSpeedingScientificPhase in AxFe2-ySe2AerosolandOcc.Department ofand
Yang Kai; Huang, Shih-Ying; Packard, Nathan J.; Boone, John M. [Department of Radiology, University of California, Davis Medical Center, 4860 Y Street, Suite 3100 Ellison Building, Sacramento, California 95817 (United States); Department of Radiology, University of California, Davis Medical Center, 4860 Y Street, Suite 3100 Ellison Building, Sacramento, California 95817 (United States) and Department of Biomedical Engineering, University of California, Davis, Davis, California, 95616 (United States)
2010-07-15T23:59:59.000Z
Purpose: A simplified linear model approach was proposed to accurately model the response of a flat panel detector used for breast CT (bCT). Methods: Individual detector pixel mean and variance were measured from bCT projection images acquired both in air and with a polyethylene cylinder, with the detector operating in both fixed low gain and dynamic gain mode. Once the coefficients of the linear model are determined, the fractional additive noise can be used as a quantitative metric to evaluate the system's efficiency in utilizing x-ray photons, including the performance of different gain modes of the detector. Results: Fractional additive noise increases as the object thickness increases or as the radiation dose to the detector decreases. For bCT scan techniques on the UC Davis prototype scanner (80 kVp, 500 views total, 30 frames/s), in the low gain mode, additive noise contributes 21% of the total pixel noise variance for a 10 cm object and 44% for a 17 cm object. With the dynamic gain mode, additive noise only represents approximately 2.6% of the total pixel noise variance for a 10 cm object and 7.3% for a 17 cm object. Conclusions: The existence of the signal-independent additive noise is the primary cause for a quadratic relationship between bCT noise variance and the inverse of radiation dose at the detector. With the knowledge of the additive noise contribution to experimentally acquired images, system modifications can be made to reduce the impact of additive noise and improve the quantum noise efficiency of the bCT system.
Jewson, S
2007-01-01T23:59:59.000Z
One way to predict hurricane numbers would be to predict sea surface temperature, and then predict hurricane numbers as a function of the predicted sea surface temperature. For certain parametric models for sea surface temperature and the relationship between sea surface temperature and hurricane numbers, closed-form solutions exist for the mean and the variance of the number of predicted hurricanes, and for the standard error on the mean. We derive a number of such expressions.
S. C. Ellis; J. Bland-Hawthorn
2007-03-06T23:59:59.000Z
We provide a consistent framework for estimating galaxy counts and variances in wide-field images for a range of photometric bands. The variances include both Poissonian noise and variations due to large scale structure. We demonstrate that our statistical theory is consistent with the counts in the deepest multiband surveys available. The statistical estimates depend on several observational parameters (e.g. seeing, signal to noise ratio), and include a sophisticated treatment of detection completeness. The JAVA calculator is freely available and offers the user the option to adopt our consistent framework or a different scheme. We also provide a summary table of statistical measures in the different bands for a range of different fields of view. Reliable estimation of the background counts has profound consequences in many areas of observational astronomy. We provide two such examples. One is from a recent study of the Sculptor galaxy NGC 300 where stellar photometry has been used to demonstrate that the outer disc extends to 10 effective radii, far beyond what was thought possible for a normal low-luminosity spiral. We confirm this finding by a reanalysis of the background counts. Secondly, we determine the luminosity function of the galaxy cluster Abell 2734, both through spectroscopically determined cluster membership, and through statistical subtraction of the background galaxies using the calculator and offset fields. We demonstrate very good agreement, suggesting that expensive spectroscopic follow-up, or off-source observations, may often be bypassed via determination of the galaxy background with GalaxyCount.
Mondrik, Nicholas; Marshall, Jennifer L
2015-01-01T23:59:59.000Z
We present a new method of extending the single band Analysis of Variance period estimation algorithm to multiple bands. We use SDSS Stripe 82 RR Lyrae to show that in the case of low number of observations per band and non-simultaneous observations, improvements in period recovery rates of up to $\\approx$60\\% are observed. We also investigate the effect of inter-band observing cadence on period recovery rates. We find that using non-simultaneous observation times between bands is ideal for the multiband method, and using simultaneous multiband data is only marginally better than using single band data. These results will be particularly useful in planning observing cadences for wide-field astronomical imaging surveys such as LSST. They also have the potential to improve the extraction of transient data from surveys with few ($\\lesssim 30$) observations per band across several bands, such as the Dark Energy Survey.
Kainulainen, Jouni
2012-01-01T23:59:59.000Z
Measuring the mass distribution of infrared dark clouds (IRDCs) over the wide dynamic range of their column densities is a fundamental obstacle in determining the initial conditions of high-mass star formation and star cluster formation. We present a new technique to derive high-dynamic-range, arcsecond-scale resolution column density data for IRDCs and demonstrate the potential of such data in measuring the density variance - sonic Mach number relation in molecular clouds. We combine near-infrared data from the UKIDSS/Galactic Plane Survey with mid-infrared data from the Spitzer/GLIMPSE survey to derive dust extinction maps for a sample of ten IRDCs. We then examine the linewidths of the IRDCs using 13CO line emission data from the FCRAO/Galactic Ring Survey and derive a column density - sonic Mach number relation for them. For comparison, we also examine the relation in a sample of nearby molecular clouds. The presented column density mapping technique provides a very capable, temperature independent tool f...
CUTANEOUS WATER LOSS AND LIPIDS OF THE STRATUM CORNEUM IN DUSKY ANTBIRDS, A LOWLAND
Williams, Jos. B.
estrato co“rneo, la capa ma“s externa de la epidermis, esta“ formado por ce“lulas aplanadas embebidas en
SWS Variance Request Form | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasma | Department ofEnergySTATE ENERGY PROGRAM NOTICE 10-015 STATECHAPTER 101804FACT SHEET: SALT
Improving Processor Design by Exploiting Performance Variance
Wang, Zhe
2014-07-28T23:59:59.000Z
to Non-Volatile Memory (NVM) and propose LLC management policies to reduce write overhead of NVM.We propose an adaptive placement and migration policy for an STT-RAM-based hybrid cache and writeback aware dynamic cache management for NVM-based main memory...
Highly Repeatable The Variance Ratio quantified the
Craelius, William
) as an alternative to standard electromyographic (EMG) methods for measuring key aspects of muscle activity. FMG
Histograms detect imbalances Variable sizes capture variance
Mueller, Frank
Laboratory, North Carolina State University, Renaissance Computing Institute This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52, Profiler, Child Nodes Data Output: to Parent Node, Tool Communication paths OPS Attr.1 Attr.2 Attr
Improving Processor Design by Exploiting Performance Variance
Wang, Zhe
2014-07-28T23:59:59.000Z
Access Patterns . . . . . . . . . . . . . . 73 5.1.3 Policy Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 5.2 WADE: Writeback-Aware Dynamic Cache Management for NVM-based Main Memory System... Methodology for APM Technique . . . . . . . . . . . . . . . 94 5.3.1 Single-Core Workloads and LLC Configuration . . . . . . . . . . 96 5.3.2 Multi-Core Workloads and LLC Configuration . . . . . . . . . . 96 5.4 Evaluation Methodology for WADE Technique...
Efficient Cardinality/Mean-Variance Portfolios
2012-03-02T23:59:59.000Z
Mar 2, 2012 ... security i is described by a random variable Ri, whose average can be computed ..... More information on these security sectors (or portfolios of ...
Procedures in statistical design and analysis of variance
McGarrah, James Eugene
1957-01-01T23:59:59.000Z
Pksfaaay Sw0 a at Baba ??F 1ugtaeLtve Pa4hhee V. AypeadSa VX ICbi4~yqyhg ~ Claeakf teatime ~~& CLaaektiedka %dka Vs 584? 8g Teide Q feh3e M %@do ~ %Ms X3s %aQe ~ f~eAmssC V~ 8he ~eAwatba Aea3yats ef Naa4eee %kihe 5WiWA)$84 VIN444M %pgsyheughga... Is&wyssct that 6nf tcesefosceticn vk31 be seesesssy'? %0 rccpsstrrsct Le desLNssd Le exch a aume that ths basis aeaecptions sill br set. The crest ewer fault In ace sar~ ef mxiseos Ls the lech ef ie doyssdraco ef ths oswc~al ercese Jlad ?s bee bere...
On the variance of the number of occupied boxes
Bogachev, Leonid V.
, Yuri V. Yakubovich b,#,2 a Department of Statistics, University of Leeds, Leeds LS2 9JT, UK b; 60C05 # Corresponding author. Email addresses: bogachev@maths.leeds.ac.uk (Leonid V. Bogachev systematically by Karlin [25]), in which the balls labeled 1, 2, . . . are thrown independently at an infinite
On the variance of the number of occupied boxes
Bogachev, Leonid V.
, Yuri V. Yakubovich b,,2 aDepartment of Statistics, University of Leeds, Leeds LS2 9JT, UK b Corresponding author. Email addresses: bogachev@maths.leeds.ac.uk (Leonid V. Bogachev), gnedin systematically by Karlin [25]), in which the balls labeled 1, 2, . . . are thrown independently at an infinite
Estimating pixel variances in the scenes of staring sensors
Simonson, Katherine M. (Cedar Crest, NM); Ma, Tian J. (Albuquerque, NM)
2012-01-24T23:59:59.000Z
A technique for detecting changes in a scene perceived by a staring sensor is disclosed. The technique includes acquiring a reference image frame and a current image frame of a scene with the staring sensor. A raw difference frame is generated based upon differences between the reference image frame and the current image frame. Pixel error estimates are generated for each pixel in the raw difference frame based at least in part upon spatial error estimates related to spatial intensity gradients in the scene. The pixel error estimates are used to mitigate effects of camera jitter in the scene between the current image frame and the reference image frame.
FEMP ESPC Best Practices: Agency Plan and Variances
Broader source: Energy.gov [DOE]
Document serves as a checklist for tracking agency use of Federal Energy Management Program energy savings performance contracts (ESPC) best practices.
How to measure redshift-space distortions without sample variance
Patrick McDonald; Uros Seljak
2008-10-02T23:59:59.000Z
We show how to use multiple tracers of large-scale density with different biases to measure the redshift-space distortion parameter beta=f/b=(dlnD/dlna)/b (where D is the growth rate and a the expansion factor), to a much better precision than one could achieve with a single tracer, to an arbitrary precision in the low noise limit. In combination with the power spectrum of the tracers this allows a much more precise measurement of the bias-free velocity divergence power spectrum, f^2 P_m - in fact, in the low noise limit f^2 P_m can be measured as well as would be possible if velocity divergence was observed directly, with rms improvement factor ~[5.2(beta^2+2 beta+2)/beta^2]^0.5 (e.g., ~10 times better than a single tracer for beta=0.4). This would allow a high precision determination of f D as a function of redshift with an error as low as 0.1%. We find up to two orders of magnitude improvement in Figure of Merit for the Dark Energy equation of state relative to Stage II, a factor of several better than other proposed Stage IV Dark Energy surveys. The ratio b_2/b_1 will be determined with an even greater precision than beta, producing, when measured as a function of scale, an exquisitely sensitive probe of the onset of non-linear bias. We also extend in more detail previous work on the use of the same technique to measure non-Gaussianity. Currently planned redshift surveys are typically designed with signal to noise of unity on scales of interest, and are not optimized for this technique. Our results suggest that this strategy may need to be revisited as there are large gains to be achieved from surveys with higher number densities of galaxies.
Fast minimum variance wavefront reconstruction for extremely large telescopes
Eric Thiebaut; Michel Tallon
2010-03-01T23:59:59.000Z
We present a new algorithm, FRiM (FRactal Iterative Method), aiming at the reconstruction of the optical wavefront from measurements provided by a wavefront sensor. As our application is adaptive optics on extremely large telescopes, our algorithm was designed with speed and best quality in mind. The latter is achieved thanks to a regularization which enforces prior statistics. To solve the regularized problem, we use the conjugate gradient method which takes advantage of the sparsity of the wavefront sensor model matrix and avoids the storage and inversion of a huge matrix. The prior covariance matrix is however non-sparse and we derive a fractal approximation to the Karhunen-Loeve basis thanks to which the regularization by Kolmogorov statistics can be computed in O(N) operations, N being the number of phase samples to estimate. Finally, we propose an effective preconditioning which also scales as O(N) and yields the solution in 5-10 conjugate gradient iterations for any N. The resulting algorithm is therefore O(N). As an example, for a 128 x 128 Shack-Hartmann wavefront sensor, FRiM appears to be more than 100 times faster than the classical vector-matrix multiplication method.
Alternating direction method of multipliers for sparse zero-variance ...
BrendanAmesandMingyiHong
2014-01-21T23:59:59.000Z
Jan 21, 2014 ... test performance of the resulting classification heuristic in Sect. 4. 2 Linear .... solve (2.4) by performing the change of variables z = W1/2w. After this ... of K ? 1 discriminant vectors can be obtained by searching for the remaining discriminant ...... [15] Sandrine Dudoit, Jane Fridlyand, and Terence P Speed.
Estimating the Variance of Query Responses in Hybrid Bayesian Nets
Greiner, Russell
) Yasin Abbasi-Yadkori, Russ Greiner, Bret Hoehn Dept of Computing Science University of Alberta Peter
Optimal Trade Execution: Mean Variance or Mean Quadratic Variation?
Forsyth, Peter A.
of client Large orders will incur costs, due to price impact (liquidity) effects e.g. rapidly selling, the total cost of unwinding the portfolio was -6.3 Billion e The price impact of rapid liquidation caused a large block of shares will depress the price Slow trading minimizes price impact, but leaves exposure
Optimal Trade Execution: Mean Variance or Mean Quadratic Variation?
Forsyth, Peter A.
on behalf of client Large orders will incur costs, due to price impact (liquidity) effects e.g. rapidly Over three days, the total cost of unwinding the portfolio was -6.3 Billion e The price impact: Sexec = f (v)S Temporary price impact and transaction cost function f (v) is assumed to be f (v) = [1
Optimal Trade Execution: Mean Variance or Mean Quadratic Variation?
Forsyth, Peter A.
of shares on behalf of client Large orders will incur costs, due to price impact (liquidity) effects e: Sexec = f (v)S Temporary price impact and transaction cost function f (v) is assumed to be f (v) = [1.g. rapidly selling a large block of shares will depress the price Slow trading minimizes price impact
Optimal Trade Execution: Mean Variance or Mean Quadratic Variation?
Forsyth, Peter A.
of client Large orders will incur costs, due to price impact (liquidity) effects e.g. rapidly selling, the total cost of unwinding the portfolio was -6.3 Billion e The price impact of rapid liquidation caused;Temporary Price Impact Temporary price impact and transaction cost function f (v) is assumed to be f (v
Variance Reduction Techniques for Implicit Monte Carlo Simulations
Landman, Jacob Taylor
2013-09-19T23:59:59.000Z
The Implicit Monte Carlo (IMC) method is widely used for simulating thermal radiative transfer and solving the radiation transport equation. During an IMC run a grid network is constructed and particles are sourced into the problem to simulate...
Diffusion theory The mean and variance function for discrete processes
Tufto, Jarle
and = var(St). It is well known that this approximation is remarkably good, even for moderate values of t that are continuous in the state variable as well as in time. The properties of such processes will be completely, which means that the form of the distribution of the St has practically no effect on the process Xt
A Clock Synchronization Strategy for Minimizing Clock Variance at Runtime
Office of Scientific and Technical Information (OSTI)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23TribalInformation Access toTen Problems inmExperimentsRelation toin High-end Computing
A MEAN-VARIANCE PORTFOLIO OPTIMIZATION OF CALIFORNIA'S
that have lower expected costs, less cost risk, and substantially reduced CO2 emissions and energy import, renewable energy, electricity planning, fuel prices, energy risks #12;TABLE OF CONTENTS EXECUTIVE SUMMARY'S 33 PERCENT RENEWABLE PORTFOLIO STANDARD GOAL Prepared For: California Energy Commission Prepared By
Treatability Variance Petition for SRS Raschig Ring Packing Material
Hagstrom, T.
1999-08-31T23:59:59.000Z
The Department of Energy's Savannah River Site (SRS) is a vital component in the nation's nuclear weapons complex. When in full operation, SRS produced nuclear material by manufacturing fuel and target components that were then irradiated in nuclear reactors.
A computer program for maximum likelihood estimation of variance components
Hays, John Howard
1967-01-01T23:59:59.000Z
by = - ~tr(H U U. ) + ~(y-~) H U UiH (y-X~) I, etting v = y-X and substituting for 1f , from (24), 1 we have ~ ? ~trt (I-Kf, Z ZII) Z )UiUi)] + ~(vH UiUiH v) h~i 2g (31) Prom matrix algebra we know that the trace (l. e. , sum of the diagonal elements... HH 12 1O DIMENSION IUCOL(5) ?GAM(5) ~ ITO(5) ?BETA(155) ~ TRIV(5) DIMENS ION XM (21 ~ 21 ) ~ GAM'I (21 ~ 5) e TRSAV(5) ~ DELTRI (5) WRITF(6?6) FORMAT()H1) CALL MATCAL(NOUMAX. IUCOL? IROW? IXCOI eNSAV? ITO? ITOT?NOT?VP V. 1XM? GAMI e I AQ ~ TR...
Reduction of Emission Variance by Intelligent Air Path Control | Department
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasma | Department ofEnergy 9ofPressure Swing2002quality on electronically fuel injectedUtilization in
ARM - Publications: Science Team Meeting Documents: Variance similarity in
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA JourneygovCampaignsPajaritogovFieldMapping ofAandprofiles ofconvection defined byshallow cumulus
Hawaii Application for Community Noise Variance (DOH Form) | Open Energy
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP aCentrothermDepew, NewAl.,Hardin County, Illinois:Information Hawaii Application for
Hawaii Guide for Filing Community Noise Variance Applications | Open Energy
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP aCentrothermDepew, NewAl.,Hardin County,Information Hawaii Guide for Filing Community Noise
A computer program for maximum likelihood estimation of variance components
Hays, John Howard
1967-01-01T23:59:59.000Z
'OFX(XltP'tZtM ~ RUNK ~ TRSAV&DELTR)& D050Le I t M &&R I TEt 6t 10 &F &L ) b020LeltM IF(ABS(F(L )) ~ GT ~ ZMAM)GO TO I CON'T )NUE GQ TO 21 DO 3 Jeltel BK(J ~ ))eHt&F&J& DO 7 Ke2 ~ (ORDER KM)eK-I Xe'X 1+A (K ) t&H DO 2 Lel tM Z (L ) e Y (L & DO 6 Lel ~ M... and variation among determinations on the leaves. The statistical model used is (1) Xigh ~ + A + Bi) + eiyh i 1 a $ 1 b k+l s ~ o n where x ~& is the observation from the i. plant, leaf snd k determination. The Ai refers to plants effect with mean 0...
Procedures in statistical design and analysis of variance
McGarrah, James Eugene
1957-01-01T23:59:59.000Z
tececcsee the mcasstcd~ ke Cbe ~tccs et tceatesset e18scNe, If tbece je csep dcsssht ee te the cceL(tscss4+ ef Chse sseehwaec a ccektahwe teecsaAcsaeeQcsss M the ?ssrhAhse scLII hc xeqsChw4i The fe&garJg ~cecW4one haec heee fee@ ccyyltealde Ss the eae4... stecclyeLat ef ths ecetislcLcclae) ks me of eeyhAo cecclceclsatioc4, The cc~xiosgisas ef ths teeehewct(s) ace ssetts?eL eeoc a Icccge esca. ke8 hghkarc tbie io tbo seat CCCLL?faotsef CCCCh?CL gf Cheee ie CeC ysrtieAg ceases foe Nme Cote of grcscggcg...
Balancing Reduces Asymptotic Variance of Outputs Yoni Nazarathy
Nazarathy, Yoni
;Intermediate Summary VGI/G/1 = c2 a µ , VGI/G/1/K = c2 a µ ? µ µc2 s µ ? ca 2 is NOT "renewal like" limK VGI/G/1/K = VGI/G/1 Currently: Complete proofs for M/M cases only Currently: Lacking
Optimizing inventory levels using financial, lifecycle and forecast variance data
Hwang, Irene S
2007-01-01T23:59:59.000Z
Significant inventory write-offs have recently plagued ATI Technologies, a world leader in graphics and media processors. ATI's product-centric culture has long deterred attention from supply chain efficiency. Given that ...
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
Johnson, Rie
) - 0.5L w - w 2 i(w ) (w - w ), (5) and convex; and P(w) is strongly convex P(w) - P(w ) - 0.5 w - w 2 2 P(w ) (w - w ), (6) where L 0. As long as we pick t as a constant L, we have linear problem min P(w), P(w) := 1 n n i=1 i(w). (1) For example, given a sequence of n training examples (x1, y1
The minimum variance of the squared error adaptive algorithm
Gray, Steven Deward
1986-01-01T23:59:59.000Z
will be remembered. 41 Output (e&)) jg d(k) I I I kd(k) 6 d(k) p, d(k) ned(k) ~- d(k) Input (e(k)) Fig. 14 T')te t)natttization rnle user) nt ADP(". t). 42 For example, an eight level uniform symmetric quantizer udll have four M values corresponding...
Dina Chernikova; Wang Ziguan; Imre Pazsit; Lenard Pal
2014-08-07T23:59:59.000Z
This paper presents a full derivation of the variance-to-mean or Feynman-alpha formula in a two energy group and two spatial region-treatment. The derivation is based on the Chapman - Kolmogorov equation with the inclusion of all possible neutron reactions and passage intensities between the two regions. In addition, the two-group one-region and the two-region one-group Feynman-alpha formulas, treated earlier in the literature for special cases, are extended for further types and positions of detectors.We focus on the possibility of using these theories for accelerator-driven systems and applications in the safeguards domain, such as the differential self-interrogation method and the differential die-away method. This is due to the fact that the predictions from the models which are currently used do not fully describe all the effects in the heavily reflected fast or thermal systems. Therefore, in conclusion a comparative study of the two-group two-region, the two-group one-region, the one-group two-region and the one-group one-region Feynman-alpha models is discussed.
A BASIS FOR MODIFYING THE TANK 12 COMPOSITE SAMPLING DESIGN
Shine, G.
2014-11-25T23:59:59.000Z
The SRR sampling campaign to obtain residual solids material from the Savannah River Site (SRS) Tank Farm Tank 12 primary vessel resulted in obtaining appreciable material in all 6 planned source samples from the mound strata but only in 5 of the 6 planned source samples from the floor stratum. Consequently, the design of the compositing scheme presented in the Tank 12 Sampling and Analysis Plan, Pavletich (2014a), must be revised. Analytical Development of SRNL statistically evaluated the sampling uncertainty associated with using various compositing arrays and splitting one or more samples for compositing. The variance of the simple mean of composite sample concentrations is a reasonable standard to investigate the impact of the following sampling options. Composite Sample Design Option (a). Assign only 1 source sample from the floor stratum and 1 source sample from each of the mound strata to each of the composite samples. Each source sample contributes material to only 1 composite sample. Two source samples from the floor stratum would not be used. Composite Sample Design Option (b). Assign 2 source samples from the floor stratum and 1 source sample from each of the mound strata to each composite sample. This infers that one source sample from the floor must be used twice, with 2 composite samples sharing material from this particular source sample. All five source samples from the floor would be used. Composite Sample Design Option (c). Assign 3 source samples from the floor stratum and 1 source sample from each of the mound strata to each composite sample. This infers that several of the source samples from the floor stratum must be assigned to more than one composite sample. All 5 source samples from the floor would be used. Using fewer than 12 source samples will increase the sampling variability over that of the Basic Composite Sample Design, Pavletich (2013). Considering the impact to the variance of the simple mean of the composite sample concentrations, the recommendation is to construct each sample composite using four or five source samples. Although the variance using 5 source samples per composite sample (Composite Sample Design Option (c)) was slightly less than the variance using 4 source samples per composite sample (Composite Sample Design Option (b)), there is no practical difference between those variances. This does not consider that the measurement error variance, which is the same for all composite sample design options considered in this report, will further dilute any differences. Composite Sample Design Option (a) had the largest variance for the mean concentration in the three composite samples and should be avoided. These results are consistent with Pavletich (2014b) which utilizes a low elevation and a high elevation mound source sample and two floor source samples for each composite sample. Utilizing the four source samples per composite design, Pavletich (2014b) utilizes aliquots of Floor Sample 4 for two composite samples.
The production of temperature and salinity variance and covariance : implications for mixing
Schanze, Julian J. (Julian Johannes)
2013-01-01T23:59:59.000Z
Large-scale thermal forcing and freshwater fluxes play an essential role in setting temperature and salinity in the ocean. A number of recent estimates of the global oceanic freshwater balance as well as the global oceanic ...
Development of finite-difference equations for variance of neutron fluxes in reactor
Laletin, N. I., E-mail: nil@adis.vver.kiae.ri; Kovalishin, A. A., E-mail: kaa@adis.vver.kiae.ri [Russian Research Center Kurchatov Institute (Russian Federation)
2010-12-15T23:59:59.000Z
Different sources-methodical, constant, and technological-are discussed for uncertainties in calculation functionals. The basic principles of three methods used in calculations of uncertainties are briefly described.
Bayesian inference for the ratio of the means of two normal populations with unequal variances
Mendoza Ramķrez, Manuel
. Mendoza Departamento de Estad#19;#16;stica ITAM, R#19;#16;o Hondo 1 01000 M#19;exico D.F., Mexico e-mail: mendoza@gauss.rhon.itam.mx E. Guti#19;errez-Pe~na Departamento de Probabilidad y Estad#19;#16;stica IIMAS
The efficiency of the crude oil markets: Evidence from variance ratio tests
Paris-Sud XI, Université de
of the 1990s oil prices have been steadily increasing, reflecting rising demand for crude oil, particularly costs, and reserves (Pindyck, 1999). Supply and demand remain the main factors determining oil prices. More precisely, oil demands depend on oil consumption by developed and developing countries, and oil
Two-Step Variance-Adaptive Image Denoising Lahouari Ghouti and Ahmed Bouridane
Ghouti, Lahouari
on a minimum mean square error estimation (MMSE) procedure. Experimental results, using images contaminated contaminated by noise. Therefore, it is desirable to derive an estimate of the original image through denoising, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia. Email: ghouti
Dresser, George Brayton
1969-01-01T23:59:59.000Z
-22703, 1 -dR dN' ' CCDC W' h' 2 . d1' the South, March 1969. Interstate Commerce Commission. I & S Dccket No. 34444, Increased Rates Within Southwest and Between Colorado and W omin and Southwest, July 1965. Interstate Commerce Commission. Docket... Introduction The principal statistic used by the Interstate Commerce Commission to establish just and reasonable rates and determine the revenue needs for regulated motor carriers is the operating ratio. The operating ratio is defined as the ratio...
Coyotes, Jazz, and Creative Teams: Facing and Seeking Variance Russ Derickson
Gordon, Scott
. Scott Gordon Computer Science Department Sacramento State University Sacramento CA 95819 USA gordonvs
Liu, Qinyan
2005-08-29T23:59:59.000Z
In-process Optical Coordinate Measuring Machine (OCMM) offers the potential of diagnosing in a timely manner variation sources that are responsible for product quality defects. Such a sensor system can help manufacturers improve product quality...
UNPUBLISHED (HAS SOME ERRORS) The Variance Curve of M/G/1 Outputs
Nazarathy, Yoni
useful resources are [7] and [8]. EURANDOM, Eindhoven University of Technology, Eindhoven The Netherlands. EURANDOM and the Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven
Gosavi, Abhijit
-neutral model designed to maximize the expected value of the total revenues earned over a finite time horizon Technical Report SOPTL-07-01 Department of Engineering Management and Systems Engineering; Missouri software programs to test principles similar to yield management, which airlines mastered years ago to eke
Nonparametric Variance Estimation under Fine Stratification: An Alternative to Collapsed Strata
Opsomer, Jean
, and managing the logistics of the fieldwork. If the subpopulations are relatively homogeneous compared Growth (Lepkowski et al. 2010) conducted by University of Michigan's Institute for Social Research under
Speech perception in noise with a two-sensor frequency-domain minimum-variance (FMV)
Illinois at Urbana-Champaign, University of
domain [e.g., Griffiths and Jim, 1982; Zurek et al., 1996; Fischer and Simmer, 1996] by its simplified
Ito-Wiener chaos expansion with exact residual and correlation, variance inequalities
Hu, Yaozhong
1997-10-01T23:59:59.000Z
We give a formula of expanding the solution of a stochastic differential equation (abbreviated as SDE) into a finite Ito-Wiener chaos with explicit residual. And then we apply this formula to obtain several inequalities for diffusions such as FKG...
Flores, Analisa Marielena
2011-01-01T23:59:59.000Z
optimal 2 m fractional factorial designs of resolution V,2000. Model-robust factorial designs. Technometrics, 42(4),1979. A screening design for factorial experiments with
Flores, Analisa Marielena
2011-01-01T23:59:59.000Z
2 k ? 3.2 Model Information Consider a special search linear model (3.1) as it applies to a fractional factorial design.
Waste Isolation Pilot Plant No-migration variance petition. Addendum: Volume 7, Revision 1
Not Available
1990-03-01T23:59:59.000Z
This report describes various aspects of the Waste Isolation Pilot Plant (WIPP) including design data, waste characterization, dissolution features, ground water hydrology, natural resources, monitoring, general geology, and the gas generation/test program.
No-migration variance petition. Appendices C--J: Volume 5, Revision 1
Not Available
1990-03-01T23:59:59.000Z
Volume V contains the appendices for: closure and post-closure plans; RCRA ground water monitoring waver; Waste Isolation Division Quality Program Manual; water quality sampling plan; WIPP Environmental Procedures Manual; sample handling and laboratory procedures; data analysis; and Annual Site Environmental Monitoring Report for the Waste Isolation Pilot Plant.
The Impact of Sampling Methods on Bias and Variance in Stochastic ...
2006-10-04T23:59:59.000Z
We also acknowledge the computing resources and support of the Graduate Education and ... Optimal investments for electricity generation: A stochastic.
"Realized variance and market microstructure noise" by Peter Hansen and Asger Lunde
Mykland, Per A.
of that is driven by the pre-processing of the data in the HL paper, and we discuss below the role that this might to represent the variation between ask, bid and trades, rather than displaying the uncertainty Yacine Aļt is for (nonparametrically) estimating certain quantities on the basis of high frequency data. The rationale
Spatio-angular Minimum-variance Tomographic Controller for Multi-Object Adaptive Optics systems
Correia, Carlos M; Veran, Jean-Pierre; Andersen, David; Lardiere, Olivier; Bradley, Colin
2015-01-01T23:59:59.000Z
Multi-object astronomical adaptive-optics (MOAO) is now a mature wide-field observation mode to enlarge the adaptive-optics-corrected field in a few specific locations over tens of arc-minutes. The work-scope provided by open-loop tomography and pupil conjugation is amenable to a spatio-angular Linear-Quadratic Gaussian (SA-LQG) formulation aiming to provide enhanced correction across the field with improved performance over static reconstruction methods and less stringent computational complexity scaling laws. Starting from our previous work [1], we use stochastic time-progression models coupled to approximate sparse measurement operators to outline a suitable SA-LQG formulation capable of delivering near optimal correction. Under the spatio-angular framework the wave-fronts are never explicitly estimated in the volume,providing considerable computational savings on 10m-class telescopes and beyond. We find that for Raven, a 10m-class MOAO system with two science channels, the SA-LQG improves the limiting mag...
A column based variance analysis approach to static reservoir model upgridding
Talbert, Matthew Brandon
2008-10-10T23:59:59.000Z
offshore turbiditic oil reservoir. The field is located in a prolific hydrocarbon basin offshore South America. More than 10 years of production data from up to 8 producing wells are available for history matching. We demonstrate that any coarsening beyond...
Orthogonal control of expression mean and variance by epigenetic features at different genomic loci
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Dey, Siddharth S.; Foley, Jonathan E.; Limsirichai, Prajit; Schaffer, David V.; Arkin, Adam P.
2015-05-05T23:59:59.000Z
While gene expression noise has been shown to drive dramatic phenotypic variations, the molecular basis for this variability in mammalian systems is not well understood. Gene expression has been shown to be regulated by promoter architecture and the associated chromatin environment. However, the exact contribution of these two factors in regulating expression noise has not been explored. Using a dual-reporter lentiviral model system, we deconvolved the influence of the promoter sequence to systematically study the contribution of the chromatin environment at different genomic locations in regulating expression noise. By integrating a large-scale analysis to quantify mRNA levels by smFISH andmore »protein levels by flow cytometry in single cells, we found that mean expression and noise are uncorrelated across genomic locations. Furthermore, we showed that this independence could be explained by the orthogonal control of mean expression by the transcript burst size and noise by the burst frequency. Finally, we showed that genomic locations displaying higher expression noise are associated with more repressed chromatin, thereby indicating the contribution of the chromatin environment in regulating expression noise.« less
Farnham, Tiffany Talley
2005-02-17T23:59:59.000Z
The population genetic structure of Atlantic yellowfin tuna (Thunnus albacares) has received little attention despite the substantial fishing mortality of juveniles caused by purse seining around fish aggregating devices ...
Application of analysis of variance and related techniques to epidemiological data
Wellington, Dorothy Gaites
1969-01-01T23:59:59.000Z
on age or race on sex is unknown for most diseases. For example, in some cancer primaries non-whites may have higher mortality rates than whites in the younger age groups, but lower rates at the more advanced ages. The three factor interact1on Race x... interaction may be interoreted alternately as mortality rate differences between the sexes within the races, as indicated in the second part of Table 3A. This particular simple effects shows that sex differences in cancer mortality are greater for non...
A Hybrid Variance Reduction Method Based on Gaussian Process for Core Simulation
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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Illinois Waiver letter on variances from UL ruling on E85 dispensers
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center Homes more and more AFVsUNITED STATESbutton highlighted
The Production and Dissipation of Compensated Thermohaline Variance by Mesoscale Stirring
Ferrari, Raffaele
Temperaturesalinity profiles from the region studied in the North Atlantic Tracer Release Experiment (NATRE) show large isopycnal excursions at depths just below the thermocline. It is proposed here that these thermohaline ...
A column based variance analysis approach to static reservoir model upgridding
Talbert, Matthew Brandon
2008-10-10T23:59:59.000Z
The development of coarsened reservoir simulation models from high resolution geologic models is a critical step in a simulation study. The optimal coarsening sequence becomes particularly challenging in a fluvial channel environment where...
Hawaii Variance from Pollution Control Permit Packet (Appendix S-13) | Open
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP aCentrothermDepew, NewAl.,Hardin County,Information Hawaii GuideHawaiiInformation HawaiiEnergy
Menke, William
trivially. 4. The damped least squares generalized inverse has the form Note that since is symmetric, its least squares generalized inverse % GMG = (G'*G + epsi*eye(M,M)) \\ G' epsi = 0.1; A = (G'*G + epsi data kernel s=0.1; G=random('Normal',0, s, N, M ) + eye(N,M); % stddev of data sigmad = 1; % use damped
No-migration variance petition. Volume 3, Revision 1: Appendix B, Attachments A through D
Not Available
1990-03-01T23:59:59.000Z
Volume III contains the following attachments: TRUPACT-II content codes (TRUCON); TRUPACT-II chemical list; chemical compatibility analysis for Rocky Flats Plant waste forms (Appendix 2.10.12 of TRUPACT-II safety analysis report); and chemical compatibility analyses for waste forms across all sites.
Estimation adaptative des modeles vectoriels autoregressifs avec une variance dependant du
Boyer, Edmond
particuliers. Dans ce cadre nous proposons des estimateurs des Moindres CarrĀ“es Ordinaires (MCO) et des estimateurs des MCO et MCA. Nous Ā“etendons leur rĀ“esultats dans le cadre des VAR. Nous montrons que dans ce
Smoothing Spline Estimation of Variance Functions Anna LIU, Tiejun TONG and Yuedong WANG
Wang, Yuedong
powerful tests (Huang and Pan 2002, Wang and Guo 2004, Cui, Hwang, Qiu, Blades and Churchill 2005). We (email: yuedong@pstat.ucsb.edu). This research was supported by NIH Grant R01 GM58533. Address
A general purpose program for the analysis of variance and the complete analysis of covariance
Strange, James Reid
1967-01-01T23:59:59.000Z
3 ' 3 AB SS= 'ij 3 X . . . /2 - Q X. . . /6 'I 3 j= I X. . . /6 + X. . . /18 I 3 ' 3 (3 3X. . . ? 3X. . . . - 3X. . . + X. . . ) /3 2 I I I I C SS = & X. . /9- X. . /IB k=1 ''k 2 (2X . . ? X. . . ) /2 ~ 3 k=1 etc. for the AC, BC...'+ s+ 1 ? 5"~5' 18 f = k+1? sf ~s N(f)~N 0 ~ n 1 ~ S 1 ~5' no es 11 Box 11: Reset cell count to zero, reset current Qx ce I I to zero. Box 12: Control for end of (factor) run Box 13: Control for going out of range of data block. Box 14...
Variance analysis in the quality control of ready mixed concrete in a major structure
Valle Aguilar, Jorge Luis
1984-01-01T23:59:59.000Z
. This study has shown that the Type C fly ash used in this project produces adequate strength levels when used in quantities of up to 30 percent of the total cementitious material. 4. If adequately controlled, different ready mixed plants can produce... the same quality of concrete. 5. The use of different types of lightweight aggregates with and without fly ash did not seem to affect variability in the 3000 psi (20. 7 Npa) strength level. 6. Lower compressive strength results observed during...
Further examination of multiple systematic sources of variance in assessment center ratings
Maldegen, Robyn Marie
1996-01-01T23:59:59.000Z
This study utilizes generalizability theory to examine the construct-related validity of a carefully implemented assessment center. Previous research has indicated that assessment centers do not exhibit construct-related validity. This study...
Second order accurate variance estimation in poststratified two-stage sampling
Kim, Kyong Ryun
2007-09-17T23:59:59.000Z
ected in the creation of new weights, denoted by wk, k 2 s. The new estimator is ^Tw = X k2s wkyk; 11 where the weights wk are chosen to minimize Pk2s dk(wk; ak) ,which measures the distance between the wk and the design weights ak = 1= k, subject...-th indivisual, and the auxiliary information available from an external source is summarized by the known vector total Pk2U xk = X. The choice of the function dk will lead to di erent estimators. The choice d(wk; ak) = (wk ak)2=2ak leads to the generalized...
A general purpose program for the analysis of variance and the complete analysis of covariance
Strange, James Reid
1967-01-01T23:59:59.000Z
3 ' 3 AB SS= 'ij 3 X . . . /2 - Q X. . . /6 'I 3 j= I X. . . /6 + X. . . /18 I 3 ' 3 (3 3X. . . ? 3X. . . . - 3X. . . + X. . . ) /3 2 I I I I C SS = & X. . /9- X. . /IB k=1 ''k 2 (2 X . . ? X. . . ) /2 ~ 3 k=1 etc. for the AC, BC... TABLE 3. Ib a x b FACTORIAL Source A B AB Error SS = B + AB Description of Factors A = Treatments B = Cell repetitions 17 TABLE 3, 2a REPEATED OBSERVATIONS WITHIN A RANDOMIZED BLOCK Source A B Experimental Error Sampl ing Error TABLE 3...
Liu, Gangjun; Chou, Lidek; Jia, Wangcun; Qi, Wenjuan; Choi, Bernard; Chen, Zhongping
2011-01-01T23:59:59.000Z
system. A microelectromechanical systems (MEMS) based sweptsituation. A microelectromechanical systems (MEMS) based
Liu, Gangjun; Chou, Lidek; Jia, Wangcun; Qi, Wenjuan; Choi, Bernard; Chen, Zhongping
2011-01-01T23:59:59.000Z
OCT system. A microelectromechanical systems (MEMS) basedsituation. A microelectromechanical systems (MEMS) based
Biometrics DOI: 10.1111/j.1541-0420.2005.00497.x Orthonormal Transform to Decompose the Variance
Paris-Sud XI, Université de
been programmed in the R framework are also proposed. Key words: Life history trait; Orthogram a common phylogeny. However, such studies have suffered from an insufficient development of statistical in both graphical and statistical aspects the dependence of trait values on the topology of the tree
Liu, Gangjun; Chou, Lidek; Jia, Wangcun; Qi, Wenjuan; Choi, Bernard; Chen, Zhongping
2011-01-01T23:59:59.000Z
domain OCT system. A microelectromechanical systems (MEMS)instable situation. A microelectromechanical systems (MEMS)
Bustamante, Fabiįn E.
C. Tamhane Source: Journal of the American Statistical Association, Vol. 74, No. 366 (Jun., 1979), pp. 471- 480 Published by: American Statistical Association Stable URL: http of scholarship. For more information about JSTOR, please contact support@jstor.org. American Statistical
in the mean. As climate changes due to natural causes or human impact, it may be changes in the frequency temperature referred to as ,,global warming". Most of the reviewed methods have one common drawback
Bringing it all to the table : examining variance in strategic approaches within the six-party talk
Zahorchak, Jason M
2009-01-01T23:59:59.000Z
In the approaches seen at the six-party talks on North Korea's nuclear program, why did states faced with the same security problem adopt different strategies? Answering this question will bring understanding to why the ...
Worseck, Gabor; Xavier Prochaska, J. [Department of Astronomy and Astrophysics, UCO/Lick Observatory, University of California, 1156 High Street, Santa Cruz, CA 95064 (United States); McQuinn, Matthew [Department of Astronomy, University of California, 601 Campbell Hall, Berkeley, CA 94720 (United States); Dall'Aglio, Aldo; Wisotzki, Lutz [Astrophysikalisches Institut Potsdam, An der Sternwarte 16, 14482 Potsdam (Germany); Fechner, Cora; Richter, Philipp [Institut fuer Physik und Astronomie, Universitaet Potsdam, Karl-Liebknecht-Str. 24/25, 14476 Potsdam (Germany); Hennawi, Joseph F. [Max-Planck-Institut fuer Astronomie, Koenigstuhl 17, 69117 Heidelberg (Germany); Reimers, Dieter, E-mail: gworseck@ucolick.org [Hamburger Sternwarte, Universitaet Hamburg, Gojenbergsweg 112, 21029 Hamburg (Germany)
2011-06-01T23:59:59.000Z
We report on the detection of strongly varying intergalactic He II absorption in HST/COS spectra of two z{sub em} {approx_equal} 3 quasars. From our homogeneous analysis of the He II absorption in these and three archival sightlines, we find a marked increase in the mean He II effective optical depth from <{tau}{sub eff},He{sub ii}>{approx_equal}1 at z {approx_equal} 2.3 to <{tau}{sub eff},He{sub ii}>{approx}>5 at z {approx_equal} 3.2, but with a large scatter of 2{approx}<{tau}{sub eff},He{sub ii}{approx}<5 at 2.7 < z < 3 on scales of {approx}10 proper Mpc. This scatter is primarily due to fluctuations in the He II fraction and the He II-ionizing background, rather than density variations that are probed by the coeval H I forest. Semianalytic models of He II absorption require a strong decrease in the He II-ionizing background to explain the strong increase of the absorption at z {approx}> 2.7, probably indicating He II reionization was incomplete at z{sub reion} {approx}> 2.7. Likewise, recent three-dimensional numerical simulations of He II reionization qualitatively agree with the observed trend only if He II reionization completes at z{sub reion} {approx_equal} 2.7 or even below, as suggested by a large {tau}{sub eff},He{sub ii}{approx}>3 in two of our five sightlines at z < 2.8. By doubling the sample size at 2.7 {approx}< z {approx}< 3, our newly discovered He II sightlines for the first time probe the diversity of the second epoch of reionization when helium became fully ionized.
Choi, Kee-Hyun
In small cells containing small numbers of ion channels, noise due to stochastic channel opening and closing can introduce a substantial level of variability into the cell's membrane potential. Negatively cooperative ...
Chen, Tianrun
2009-01-01T23:59:59.000Z
When an acoustic field propagates through a multimodal waveguide, the effect of variations in medium properties induced by 3D random inhomogeneities accumulates by multiple forward scattering over range. This causes ...
Tseng, Te-Yu; Yang, Chiu-Sheng; Chen, Yang-Fang [Department of Physics, National Taiwan University, Taipei, Taiwan (China); Tsai, Tsung-Hua [Department of Dermatology, Far Eastern Memorial Hospital, New Taipei City, Taiwan (China); Dong, Chen-Yuan, E-mail: cydong@phys.ntu.edu.tw [Department of Physics, National Taiwan University, Taipei, Taiwan (China); Center for Quantum Science and Engineering, National Taiwan University, Taipei, Taiwan (China); Center for Optoelectronic Biomedicine, National Taiwan University, Taipei, Taiwan (China)
2014-10-20T23:59:59.000Z
In this letter, we propose an efficient methodology of investigating dynamic properties of sulforhodamine B and rhodamine B hexyl ester molecules transporting across ex-vivo human stratum corneum with and without oleic acid enhancement. Three-dimensional, time-lapse fluorescence images of the stratum corneum can be obtained using two-photon fluorescence microscopy. Furthermore, temporal quantifications of transport enhancements in diffusion parameters can be achieved with the use of Fick's second law. Dynamic characterization of solutes transporting across the stratum corneum is an effective method for understanding transient phenomena in transdermal delivery of probe molecules, leading to improved delivery strategies of molecular species for therapeutic purposes.
Method for in situ heating of hydrocarbonaceous formations
Little, William E. (Morgantown, WV); McLendon, Thomas R. (Laramie, WY)
1987-01-01T23:59:59.000Z
A method for extracting valuable constituents from underground hydrocarbonaceous deposits such as heavy crude tar sands and oil shale is disclosed. Initially, a stratum containing a rich deposit is hydraulically fractured to form a horizontally extending fracture plane. A conducting liquid and proppant is then injected into the fracture plane to form a conducting plane. Electrical excitations are then introduced into the stratum adjacent the conducting plate to retort the rich stratum along the conducting plane. The valuable constituents from the stratum adjacent the conducting plate are then recovered. Subsequently, the remainder of the deposit is also combustion retorted to further recover valuable constituents from the deposit. Various R.F. heating systems are also disclosed for use in the present invention.
Ghosh, Saswata
2007-01-01T23:59:59.000Z
The stratum corneum (SC) of the skin functions as a barrier between the body and the environment. Surfactants such as Sodium Dodecyl Sulfate (SDS) are used in skin cleansers and in skin-care formulations because of their ...
Population Reference Bureau Kenneth W. Wachter
Wachter, Kenneth W.
-Recapture Estimates 2. Logistic Regression for Stratum Rates 3. Synthetic Estimation for Small Areas KWW p. 14/2 #12,000 households · American Community Survey: Reverse Record Check KWW p. 20/2 #12;References Bell, Robert and M
Thompson, Catherine Phillips
1972-01-01T23:59:59.000Z
AND STANDARD DEVIATIONS OF BLACK AND WHITE RETARDATES ON WISC SUBTESTS AND FULL SCALE IQ PAGE 32 33 36 38 5 ANALYSIS OF VARIANCE FOR VOCABULARY SUBTEST ANALYSIS OF VARIANCE FOR PICTURE ARRANGE SUBTEST ANALYSIS OF VARIANCE FOR DIGIT SPAN SUBTEST 39... DEVIATIONS OF THREE AGE GROUPS ON WISC SUBTESTS AND FULL SCALE IQ ANALYSIS OF VARIANCE FOR INFORMATION SUBTEST. ANALYSIS OF VARIANCE FOR COMPREHENSION SUBTEST. ANALYSIS OF VARIANCE FOR ARITHMETIC SUBTEST ANALYSIS OF VARIANCE FOR SIMILARITIES SUBTEST...
Niileksela, Christopher Robert
2012-05-31T23:59:59.000Z
--achievement relations. A three-stratum model of cognitive abilities based on Cattell-Horn-Carroll (CHC) theory was used in the analysis. Results showed that the factor structure and factor loadings of the CHC model were invariant among groups, and SLD group membership...
Copyright 2009 by ASME1 INTRODUCTION
Aguilar, Guillermo
. Cryopneumatic (CPx) is a new technology under development which combines the quick freezing of stratum cornuem-Aldrich Co. (St. Luis, MO). Porcine skin samples with intact SC were obtained from a local meat processor for 60 min. (a) (b) Figure 1. Experimental setup to freeze and stretch porcine skin: (a) R134a spurt; (b
Gupta, Vinay Kumar
12 INFLUENCE OF LIQUEFACTION ON PILE-SOIL INTERACTION IN VERTICAL VIBRATION B.K. Maheshwari*, U.K. Nath** and G. In such soil stratum, pile foundations may undergo substantial shaking while the soil is in a fully liquefied the liquefaction phenomenon. The Winkler soil model has been used to model the pile-soil interaction. Combining
capillary pressure must build up in the non- wetting fluid at the pore entrance; this pressure is given by P is typically much larger than the viscous pressure associated with flow into a pore. Consequently, the flow by balancing the stratum-scale viscous pressure driving the flow with the capillary pressure required to invade
Abstract--We examined the diel ver-tical distribution, concentration, and
than during the day, and there was evidence of larval diel vertical migration. Depth stratum. The 74 depth-stratified samples yielded 1571 fish larvae from 20 taxa, representing 11 families, and 128 increased from the surface to 50 m, then decreased with depth. Larval concentrations were higher at night
Rat Trachea Dose Distribution Model Using MCNPTM
Almanza, Christian
2010-01-15T23:59:59.000Z
of 10 statistical checks for the estimated answer for the tally fluctuation chart (tfc) bin of tally 6 tfc bin --mean-- ---------relative error--------- ----variance of the variance---- --figure of merit-- - pdf... =============================================================================== ==================================================== results of 10 statistical checks for the estimated answer for the tally fluctuation chart (tfc) bin of tally 8 tfc bin --mean-- ---------relative error--------- ----variance of the variance---- --figure of merit-- - pdf...
Biomass relations for components of five minnesota shrubs. Forest Service research paper
Buech, R.R.; Rugg, D.J.
1995-08-31T23:59:59.000Z
The tall shrub stratum is an important component of upland forests in the Lake States, especially of deciduous forest communities. The prevalance of tall shrubs has produced a recurring research interest in this stratum both in ecological studies and wildlife habitat surveys within the region. For such purposes, estimates of the biomass of tall shrubs or their component parts are often needed. The authors examine goodness of fit of two predictor variables (shrub height and stem diameter class) in three relations. The authors provide equations that use stem diameter class or stem diameter class and height to estimate biomass of six components of five shrub species, as well as generalized equations derived from a composite of all five species. Finally, the authors provide the information needed to construct standard errors for biomass estimates.
Barnhart, Kirstin Faye
2005-11-01T23:59:59.000Z
al, 2003; Paramio and Jorcano, 2002) and apoptosis (Dinsdale et al, 2004) and organization of cellular organelles (Kumemura et al, 2004) As with all intermediate filaments, keratins share a basic homologous structure that consists of a 310 amino... and 10 predominate in the normal suprabasal epidermis and stratum corneum (Steinert et al, 1993). To date, 49 different keratins (25 type I and 24 type II) have been identified (Coulombe and Omary, 2002). Type I and type II keratins were initially...
Davis, Ernest Edwin
1971-01-01T23:59:59.000Z
, Therefore, to get an overall indication of the sampled population's preferences, a weighting procedur'e was necessary. Those sampled persons returning the mailed questionnaire were considered as the responding stratum. Those sampled persons not returning... in the report, and determining what information should be presented in the interpretation column of the report. The data was collected by the use of a mail questionnaire sent to a random sample of 5, 112 readers of tbe Texas Livestock Narket News. Telephone...
Brooks, S.; Elswick, B.; Elliott, R. N.
2006-01-01T23:59:59.000Z
Efficiency and CHP Portfolio Standard that requires electric suppliers to obtain a percentage of their output from energy conservation services and CHP generation. Next, it abolished Back-up Power Rates for customers who develop customer-sited DER... four-tier stratum with regard to utility operations and friendliness toward the adoption of CHP. BACKGROUND CHP systems, also known as cogeneration, generate electricity and thermal energy in a single, integrated system (Elliott and Spurr 1999...
Wehenkel, Louis
Mathema'cally · Two formula'ons Maximum variance: find the direc'ons that maximize the variance of the projected data Minimumerror formula'on: minimizes the reconstruc'on error of the projected data #12
A Behavioral Analysis of Clovis Point Morphology Using Geometric Morphometrics
Smith, Heather Lynn
2012-02-14T23:59:59.000Z
of tool form. Multivariate analysis of variance determined that a regional trend in variability was present. The distribution of within-site variance suggested that artifacts from sites in the West were very homogeneous while artifacts from Eastern sites...
Supporting Information Gutierrez-Medina et al. 10.1073/pnas.0907133106
Block, Steven
an experiment to compensate for any signal loss. Dimeric Kinesin Bound to Microtubules (MTs) in Rigor. We-PNP or rigor conditions (6), or with stable cross-linking. Running Variance. The running angular variance
Nonparametric Comparison of Densities Based on Statistical Bootstrap
Nonparametric Comparison of Densities Based on Statistical Bootstrap De Brabanter, K.1 , Sahhaf, S. Keywords: Statistical Bootstrap, Variance Stabilization, Least Squares Support Vector Machines, Hypothesis on statistical bootstrap with variance stabilization and a nonparametric kernel density estimator, assisting
Cain, Nathan Jackson
1952-01-01T23:59:59.000Z
EFFECTS OF VARIABLE NITROGEN AND PHOSPHORUS TREATMENTS WITH AND WITHOUT MAGNESIUM SULFATE ON THE AVAILABILITY OF SOIL NUTRIENTS AND THE PERCENI'AGE COMPOSITION AND YIELD OF COASTAL BERMUDA GRASS FORAGE A Thesis Nathan J ~ Cain Approved...'i~see o ' . ~lant tissue data IV. Analysis of variance of soil phosphorus (P) data V. Analysis of variance of' soil calcium (Ca) data VI. Analysis of variance of soil magnesium (Mg) data VII. Analysis of variance of scil potassium (K) data 34 35 36...
BIOINFORMATICS Vol. 19 no. 11 2003, pages 13601367
Rocke, David M.
-variance dependency. Availability: R and Matlab code and test data are available from the authors on request. Contact
CSEM WP 136 Is Real-Time Pricing Green?: The Environmental
California at Berkeley. University of
in variance on emissions of SO2, NOx, and CO2. According to our estimates, a reduction in within-day load that RTP will reduce variance of electricity load and estimate the short-run impacts of a reduction- Atlantic, and MAIN in the Illinois area). However, a reduction in within-day variance would actually
Blue, K. N.; Spates, C. N.
? Identify trends and correlations relating to energy performance ? Determine demonstrated performance levels ? Identify variance between demonstrated and historic average energy consumption ? Understand key factors that influence energy consumption... energy ratios on an area by area basis ? Identify poor performance and negative trends impacting energy consumption ? Train team to utilize Energy Management System to identify variances and trends ? Variances = opportunity for improvement Energy...
Currency of Fitness in Foraging Theories Hypothesis Links Behavior to Fitness
Caraco, Thomas
Positive Energy Budget Choose Low Variance, Risk-Averse E [X(T)] Energy Budget Choose High Variance, Risk-Prone #12;14 Test Know Mean & Variance "Clump Type" Body Mass, Energy Requirement #12;, Test Hypothesis Diet Choice, MVT: Expected Long-term Rate of Energy Gain = As Total Foraging Time
Stewart, Milton David
2001-01-01T23:59:59.000Z
GE) on Days 14 and 15 of the estrous cycle (Silvia and Raw, 1993; Charpigny et al. , 1997; Gray et al. , 2000). The sGE is the GE within the stratum compactum of the endometrium that is phenotypically identical to the LE. Pulsatile secretion of PGF.../or IRFs to suppress ERa and OTR expression in the LE and sGE. Although IFN~ suppresses ERa and OTR expression in the LE and sGE, it does not induce ISG expression in these cell types (Choi et al. , 2001). Instead, IFN~ induces ISG expression solely...
A study of possible trade routes between Egypt and Mesopotamia, ca. 3500-3100 B.C.
Mark, Samuel
1993-01-01T23:59:59.000Z
, Ilan, and M. Sebbane, "Copper Metallurgy, Trade, and the Urbanization of Southern Canaan in the Chalcolithic and Early Bronze Age, " in P. de Miroschedji, ed. , L' r ni ' n 1 P 1 'n ' 1' z n i n (Oxford 1989) 143; R. Gonen, "The Chalcolithic Period..., ed. , P in ' 1' This presence is reflected by stratum V at Tel Erani, See, Weinstein (supra n. 52) 63-64; Brandl (supra n. 52) 365. W, Ward, "Early Contacts Between Egypt, Canaan, and Sinai: Remarks on the Paper by Amnon Ben-Tor, " ~R 281 (1991) 14...
Instrumental Variable Analysis with a Nonlinear ExposureOutcome Relationship
Burgess, Stephen; Davies, Neil M.; Thompson, Simon G.
2014-08-27T23:59:59.000Z
this merely reflects reverse causation (sick people lose weight) or confounding (underweight individuals dif- fer in other risk factors from those of average weight) or whether there is a causal effect of low BMi on increased mortality.3 in a randomized... as the sample size increases. either stratum- specific or sliding window estimates can equally be estimated with a binary outcome by using a log-linear or logistic analy- sis model to estimate a relative risk or odds ratio parameter. a localized average causal...
Moore, William
2015-07-24T23:59:59.000Z
testing of site 41NV670 was performed to determine the research potential of this unique site which consisted of a bison bone bed approximately 15 feet below the surface of a relict flood plain and within a heavy clay mantle. This investigation... was performed using shovel testing, excavation of two 1 x 1 meter test units, one backhoe trench, surface inspection of creek exposures, and an evaluation by a geomorphologist. Site 41NV670 consists of a stratum of bison bone identified as modern bison (Bison...
Thallman, Richard Mark
1988-01-01T23:59:59.000Z
be biased downward substantially. Bertrand and Benyshek (1987) extended the method of Wilson et al. (1986) to compute genetic parameters for use in the 1986 Limousin and Brangus national cattle evaluations. They used two models for variance estimation: a... sire and dam model and a sire and maternal grandsire model. The final estimates of variance components were based on combinations of variances from both models. The genetic parameters estimated by Bertrand and Benyshek (1987) for weaning weight...
Exogenous application of gibberellins to hasten yaupon seed germination for surface mine reclamation
Whatley, Christopher Marc
1988-01-01T23:59:59.000Z
55 57 64 LIST OF TABLES Table No. Page Arrangement of treated seeds on thermo-gradient table 14 Expected mean squares and degrees of freedom for incubator analysis of variance. 17 Expected mean squares and degrees of freedom for thermo...-gradient table analysis of variance. 18 Expected mean squares and degrees of freedom for thermo-gradient table sugar concentration analysis of variance. 22 ANOVA summary of incubator seed weight samples by sample periods and treatments . . . . . . . . . . 26...
Parameters Covariance in Neutron Time of Flight Analysis Explicit Formulae
Odyniec, M. [NSTec; Blair, J. [NSTec
2014-12-01T23:59:59.000Z
We present here a method that estimates the parameters variance in a parametric model for neutron time of flight (NToF). The analytical formulae for parameter variances, obtained independently of calculation of parameter values from measured data, express the variances in terms of the choice, settings, and placement of the detector and the oscilloscope. Consequently, the method can serve as a tool in planning a measurement setup.
A fractional dispersion model for overland solute transport
Deng, Zhi-Qiang; de Lima, M. Isabel P.; Singh, Vijay P.; de Lima, Jo??o L. M. P.
2006-03-18T23:59:59.000Z
. It is apparent from Figure 1 and the above-mentioned variance analysis that (1) the relationship between variance and time does not simply follow a power law, although approximate power-law relations may be found in some cases; and (2) a polynomial equation... with a variable power index can best describe the relation between vari- ance and time. These characteristics of the variance of observed concentration distributions are difficult to predict using existing integer-order models. In fact, the infinite...
Flame Stability Analysis in an Ultra Compact Combustor Using Large-Eddy Simulation
Raman, Venkat
of the configuration. The high enthalpy in this region interacts with the incoming spray droplets leading progress variable Thermochemical composition vector Zv Subfilter mixture fraction variance Graduate Student
Tax Credits, Rebates & Savings | Department of Energy
Broader source: Energy.gov (indexed) [DOE]
authorities as part of a permit or variance relating to zoning, construction, or stormwater may only include the foundation or base supporting the solar panel. The law...
Fuel cell stack monitoring and system control
Keskula, Donald H.; Doan, Tien M.; Clingerman, Bruce J.
2004-02-17T23:59:59.000Z
A control method for monitoring a fuel cell stack in a fuel cell system in which the actual voltage and actual current from the fuel cell stack are monitored. A preestablished relationship between voltage and current over the operating range of the fuel cell is established. A variance value between the actual measured voltage and the expected voltage magnitude for a given actual measured current is calculated and compared with a predetermined allowable variance. An output is generated if the calculated variance value exceeds the predetermined variance. The predetermined voltage-current for the fuel cell is symbolized as a polarization curve at given operating conditions of the fuel cell.
Proceedingsof the 37th IEEE Conferenceon Decision & Control
Tatikonda, Sekhar
with zero mean and variance Kw, A E Edxd,B E Rdxmand (A,B) is controllable. 0-7803-4394-8198$10.0001998 IEEE
Microsoft Word - OE Monthly Reporting Request SS 10-17-2011.doc
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
as review of cost information to ensure compliance with the statutes. DOE will collect data on cost and schedule variance, including Budgeted Cost of Work Scheduled (BCWS),...
Testing the Effectiveness of an Avian Flight Diverter for Reducing...
The researchers compared the number of carcasses found below treatment, buffer, and control power lines with a block analysis of variance. Researchers also studied whether...
Work supported in part by NSF Grants ECS 02 17836 and 05 23620
variance: where h solves Poisson's equation k = k-1 k-1 t=0 c(X(t)) D h = c +- 2 = (h2 - (Ph)2 ) #12
Projection, Search, and Optimality in Fractional Factorial Experiments
Zheng, Zongpeng
2014-01-01T23:59:59.000Z
regular fractional factorial designs and their applications.variance fractional factorial designs and their optimalityoptimal 2 m fractional factorial designs of Resolution V, m
Wolak, Matthew Ernest
2013-01-01T23:59:59.000Z
2005a. Estimating the additive genetic effect of the Xand the maintenance of additive variance. Evolution. 42:with maternal and non-additive genetic effects. Rev. Brasil.
The effect of joint scheduling and diversity on a multi- user wireless communication system
Hur, Seong-Ho
2011-01-01T23:59:59.000Z
multiplexing: Exact variance and outage approximation, IEEEA. Assalini, Maximizing outage capacity of OFDM transmitMadhow, Characterizing outage rates for space-time commu-
2014-12-12T23:59:59.000Z
We define worst-case risk as the largest variance attainable by the investment ...... management. Financial and Quantitative Analysis, 39(3):481494, 2004.
Sidorov, Nikita
, 2013. Liam Brown (2010 2014). General Blending Models for Mixture Experiments: Design and Analysis). Construction of Experimental Designs for Estimating Variance Components. Computational Statistics and Data
Essays on the household-level effects of house price growth
Sitgraves, Claudia Ayanna
2009-01-01T23:59:59.000Z
Constructing measures of house price variance . . . . 2.4.4Flip That House? House Price Dynamics and Housing InvestmentHouse Price Data . . . . . . . . . . . . . . . . . . . . .
The Digital Array Response Curve Luigi A. Warren Joshua A. Weinstein
Quake, Stephen R.
, the coefficient of variance (CV ), is calculated as follows: CV = E[m2] - E[m]2 E[m] (5) Appendix 1 gives a MATLAB
2014-09-25T23:59:59.000Z
Section 5 (cont.): Variance and Standard. Deviation; Chebyshev's Inequality. October 2nd, 2014. Lesson 9. Page 2. In the previous lesson, we introduced an ...
Armstrong, John G.; Gillham, Charles M. [Department of Radiation Oncology, St. Luke's Hospital, Dublin (Ireland); Dunne, Mary T., E-mail: mary.dunne@slh.ie [Clinical Trials Resource Unit, St. Luke's Hospital, Dublin (Ireland); Fitzpatrick, David A. [Department of Radiation Oncology, St. Luke's Hospital, Dublin (Ireland); Finn, Marie A.; Cannon, Mairin E. [Clinical Trials Resource Unit, St. Luke's Hospital, Dublin (Ireland); Taylor, Judy C. [Department of Nursing, St. Luke's Hospital, Dublin (Ireland); O'Shea, Carmel M. [Clinical Trials Resource Unit, St. Luke's Hospital, Dublin (Ireland); Buckney, Steven J. [Department of Physics, St. Luke's Hospital, Dublin (Ireland); Thirion, Pierre G. [Department of Radiation Oncology, St. Luke's Hospital, Dublin (Ireland)
2011-09-01T23:59:59.000Z
Purpose: To examine the long-term outcomes of a randomized trial comparing short (4 months; Arm 1) and long (8 months; Arm 2) neoadjuvant hormonal therapy before radiotherapy for localized prostate cancer. Methods and Materials: Between 1997 and 2001, 276 patients were enrolled and the data from 261 were analyzed. The stratification risk factors were prostate-specific antigen level >20 ng/mL, Gleason score {>=}7, and Stage T3 or more. The intermediate-risk stratum had one factor and the high-risk stratum had two or more. Staging was done from the bone scan and computed tomography findings. The primary endpoint was biochemical failure-free survival. Results: The median follow-up was 102 months. The overall survival, biochemical failure-free survival. and prostate cancer-specific survival did not differ significantly between the two treatment arms, overall or at 5 years. The cumulative probability of overall survival at 5 years was 90% (range, 87-92%) in Arm 1 and 83% (range, 80-86%) in Arm 2. The biochemical failure-free survival rate at 5 years was 66% (range, 62-71%) in Arm 1 and 63% (range, 58-67%) in Arm 2. Conclusion: No statistically significant difference was found in biochemical failure-free survival between 4 months and 8 months of neoadjuvant hormonal therapy before radiotherapy for localized prostate cancer.
Light refreshments will be served. Tuesday, February 9
De Callafon, Raymond
for Automatic Controller Tuning Dr. Raymond de Callafon UCSD For most control systems, performance can be quantified by the variance of a system dependent or user defined control System Performance Signal (SPS). The smaller the variance of the SPS, the better is the performance of the control system. However
Journal of Statistical Planning and Inference 136 (2006) 19111922
Zhang, Li-Xin
2006-01-01T23:59:59.000Z
, the asymptotic power is an decreasing function of the asymptotic variance of the allocation proportions 2005 Abstract We derive a lower bound on the asymptotic variance of the allocation proportions from response- adaptive randomization procedures when the allocation proportions are asymptotically normal
Adaptive Resampling for Mobile, Real-Time Terrain
Mower, James E.
TinVariance scans the high-res TIN, searching for samples that exceed the variable local tolerance Scanning works about 3 minutes on a 700 mHz laptop #12;LocalTinVariance Speed Factors Worst-case performance is linear, triangular decomposition of a grid GridToTinVT adds a variable tolerance increasing with distance from
Multiple Contributors
1982-01-01T23:59:59.000Z
made............................................ 30 12. Correlations involving certain variables in the Hudgins Brahman cattle.......................................... 32 13? Average age, weight and phosphatase of the Frost Brahman cattle.................................................... 32 14. Analysis of variance and covariance of initial phosphatase in the Frost Brahman cattle......... .................... 34 Page LIST OF TABLES (Continued) 15. Analysis of variance and covariance of final phosphatase in the Frost Brahman...
Certain antibiotics in the experimental formation of urinary calculi in fattening lambs
Robbins, Joe Dennis
1959-01-01T23:59:59.000Z
a ~ ~ s ~ ~ ' ~ 23 Calcine ~ i ~ ~ ~ ~ ~ ~ ~ ~ 25 Pciasailgl ~ ~ ~ ~ ~ j ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 2P Scdina ~ ~ ~ ~ ~ o ~ ~ ~ ~ ~ ~ ~ ~ ' ~ ~ ~ ' 29 Urine PH ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ )0 SU%ART ~ ~ ~ i ~ ~ ' ~ ~ ~ ~ ~ ' ~ ~ ~ ~ ~ ~ ~ i... 4. Analysis oi Variance of Gains Due to Treatment . . . . . 19 Analysis of Variance of Gains for Lambs With and , Without Calculi i ~ ~ ~ ~ ~ \\ . ~ ~ ~ ~ i ~ ~ ~ ~ i ~ ~ 20 6. Lot Noans of Serum M. ncral Constituento and Urine p...
Jrgen Alheit A BRIEF OVERVIEW OF THE REGIME SHIFT
shifts in the mean. Several approaches can be distinguished: 1. Parametric methods, such as the classical-order statistics, such as the variance and power spectrum (Tables 2 and 3). A separate group of methods includes., 2003). Strong theoretical basis. Robust to the assumption of normality and equality of variances. Data
Webb, Geoff
that the original grafting technique oper- ated primarily by variance reduction while the new technique reduces both that the original algorithm re- duced error primarily through variance reduction while the new algorithm reduces adds nodes to an existing decision tree with the objective of reducing pre- diction error. A new
Practical Regression and Anova using R Julian J. Faraway
Practical Regression and Anova using R Julian J. Faraway July 2002 #12;1 Copyright c 1999, 2000 There are many books on regression and analysis of variance. These books expect different levels of pre is on the practice of regression and analysis of variance. The objective is to learn what methods are available
Superposed Coherent and Squeezed Light
Fesseha Kassahun
2012-01-18T23:59:59.000Z
We first calculate the mean photon number and quadrature variance of superposed coherent and squeezed light, following a procedure of analysis based on combining the Hamiltonians and using the usual definition for the quadrature variance of superposed light beams. This procedure of analysis leads to physically unjustifiable mean photon number of the coherent light and quadrature variance of the superposed light. We then determine both of these properties employing a procedure of analysis based on superposing the Q functions and applying a slightly modified definition for the quadrature variance of a pair of superposed light beams. We find the expected mean photon number of the coherent light and the quadrature variance of the superposed light. Moreover, the quadrature squeezing of the superposed output light turns out to be equal to that of the superposed cavity light.
The effect of sulphur and phosphorus sources on cotton
Black, Shelton Glenn
1958-01-01T23:59:59.000Z
plants taken on June 21 13 Table 5 Mean yield of seed cotton in pounds per acre. . Table 6 Mean yield of lint cotton in pounds per acre. . . Table 7 Mean yield of cotton seed in pounds per acre. . 16 17 Table 8 Staple length, grade, and current... Analysis of variance for effect of phosphorus sources on yield of seed cotton, second harvest 49 Table Z5 Analysis of variance for effect of phosphorus sources on total yield of seed cotton 49 Table Z6 Analysis of variance for effect of phosphorus...
A Hybrid (Monte-Carlo/Deterministic) Approach for Multi-Dimensional Radiation Transport
Guillaume Bal; Anthony Davis; Ian Langmore
2011-05-07T23:59:59.000Z
A novel hybrid Monte Carlo transport scheme is demonstrated in a scene with solar illumination, scattering and absorbing 2D atmosphere, a textured reflecting mountain, and a small detector located in the sky (mounted on a satellite or a airplane). It uses a deterministic approximation of an adjoint transport solution to reduce variance, computed quickly by ignoring atmospheric interactions. This allows significant variance and computational cost reductions when the atmospheric scattering and absorption coefficient are small. When combined with an atmospheric photon-redirection scheme, significant variance reduction (equivalently acceleration) is achieved in the presence of atmospheric interactions.
A Hybrid (Monte-Carlo/Deterministic) Approach for Multi-Dimensional Radiation Transport
Bal, Guillaume; Langmore, Ian
2011-01-01T23:59:59.000Z
A novel hybrid Monte Carlo transport scheme is demonstrated in a scene with solar illumination, scattering and absorbing 2D atmosphere, a textured reflecting mountain, and a small detector located in the sky (mounted on a satellite or a airplane). It uses a deterministic approximation of an adjoint transport solution to reduce variance, computed quickly by ignoring atmospheric interactions. This allows significant variance and computational cost reductions when the atmospheric scattering and absorption coefficient are small. When combined with an atmospheric photon-redirection scheme, significant variance reduction (equivalently acceleration) is achieved in the presence of atmospheric interactions.
Variation of surface currents and effects on dispersion in the Tropical Pacific Ocean
Horne, Doyle Jackson
1980-01-01T23:59:59.000Z
velocities as measured by ship drift variance v . A 2 v relation between particle position variance and velocity 2 2 t variance is v = 2v I (t ? x ) R(x) dx. This is the fun- 0 damental ecuation of turbulent diffusion where t is time If turbulence.... Data from all years was consolidated. Means, standard deviations and covariances were calculated in each of these it was necessary groups of data. Zn order to derive eddy viscosity coef- cov(uv) ficients from the ecuation A = du dy to compute...
Cozart, George Davis
1975-01-01T23:59:59.000Z
oz z Cn+ O ooe ? z g XO Q V) z&+ J o O o~~ i&Q LIGHT GRAY LOOSE SILTY SAND SM 13. 4 12. 6 1043 13. 4 13. 8 106$ SM 16. 3 26. 0 111. 6 I BX) Il 5. 0 IO TAN FIRM SILTY CLAY FIG. 4. -LOG OF BORING 2 SITE A - STATE HIGHWAY 30. (Ift ?. 305m...', I pcf ?16. 0lkg/m ) o w w X z 0 1- 8 DESCRIPTION OF STRATUM c( O w~ wm Z 0 z i Dol- 8 I-~c, Ou) ~) a&n +w 40. zv) w1 pww e1-o I c( E9 &wit I-3 L' CX zm 2 6. 7 E BROWN LOOSE SILTY SAND SM 15. 0 5. 1 98. 7 10. 9 6. 0 103. 9 6...
Hsu, Bertrand D. (Erie, PA); Leonard, Gary L. (Schenctady, NY)
1988-01-01T23:59:59.000Z
A fuel injection system particularly adapted for injecting coal slurry fuels at high pressures includes an accumulator-type fuel injector which utilizes high-pressure pilot fuel as a purging fluid to prevent hard particles in the fuel from impeding the opening and closing movement of a needle valve, and as a hydraulic medium to hold the needle valve in its closed position. A fluid passage in the injector delivers an appropriately small amount of the ignition-aiding pilot fuel to an appropriate region of a chamber in the injector's nozzle so that at the beginning of each injection interval the first stratum of fuel to be discharged consists essentially of pilot fuel and thereafter mostly slurry fuel is injected.
Detailed Studies of Hydrocarbon Radicals: C2H Dissociation
Wittig, Curt
2014-10-06T23:59:59.000Z
A novel experimental technique was examined whose goal was the ejection of radical species into the gas phase from a platform (film) of cold non-reactive material. The underlying principle was one of photo-initiated heat release in a stratum that lies below a layer of CO2 or a layer of amorphous solid water (ASW) and CO2. A molecular precursor to the radical species of interest is deposited near or on the film's surface, where it can be photo-dissociated. It proved unfeasible to avoid the rampant formation of fissures, as opposed to large "flakes." This led to many interesting results, but resulted in our aborting the scheme as a means of launching cold C2H radical into the gas phase. A journal article resulted that is germane to astrophysics but not combustion chemistry.
Panel data models with nonadditive unobserved heterogeneity : estimation and inference
Lee, Joonhwan
2014-01-01T23:59:59.000Z
This paper considers fixed effects estimation and inference in linear and nonlinear panel data models with random coefficients and endogenous regressors. The quantities of interest - means, variances, and other moments of ...
Rational plunging and the option value of sequential investment : the case of petroleum exploration
Smith, James L.
2006-01-01T23:59:59.000Z
Any investor in assets that can be exploited sequentially faces a tradeoff between diversification and concentration. Loading a portfolio with correlated assets has the potential to inflate variance, but also creates ...
15.075 Applied Statistics, Spring 2003
Newton, Elizabeth
This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and ...
-- Auto Tuning; Measurement Weights; Power System State Estimation; Random Error Variances. I is not always true. M is used for estimating measurement e1 Abstract--This paper describes an approach for choosing and updating measurement weights used
of Statistical Parametric Maps (SPM). SPM are constructed on a pixel-by-pixel basis thus making no assumption about the variance of the attributes. SPM, alone, provide a feel for the inherent variability
Rowland, Matthew James; Atgie, Marina; Hoogland, Dominique; Scherman, Oren A.
2015-07-02T23:59:59.000Z
in polynucleotides and polypeptides. Therefore, they have already found many ap- plications in food technology, cosmetic products and larger industrial processes such as frack- ing.10 In terms of structural variance, many commodity polysaccharides are available...
Harms, Kyle E.
Variables 593 18 Generalized Additive Models 611 19 Mixed-Effects Models 627 20 Non-linear Regression 661 21 323 10 Regression 387 11 Analysis of Variance 449 12 Analysis of Covariance 489 13 Generalized Linear
Fuel cell stack monitoring and system control
Keskula, Donald H.; Doan, Tien M.; Clingerman, Bruce J.
2005-01-25T23:59:59.000Z
A control method for monitoring a fuel cell stack in a fuel cell system in which the actual voltage and actual current from the fuel cell stack are monitored. A preestablished relationship between voltage and current over the operating range of the fuel cell is established. A variance value between the actual measured voltage and the expected voltage magnitude for a given actual measured current is calculated and compared with a predetermined allowable variance. An output is generated if the calculated variance value exceeds the predetermined variance. The predetermined voltage-current for the fuel cell is symbolized as a polarization curve at given operating conditions of the fuel cell. Other polarization curves may be generated and used for fuel cell stack monitoring based on different operating pressures, temperatures, hydrogen quantities.
Avelar Lezama, Ivan
2007-04-25T23:59:59.000Z
..............................................................................134 0.36 Treatment ..............................................................................135 0.40 Treatment ..............................................................................136 0.44 Treatment... ..............................................................................140 0.40 Treatment ..............................................................................142 0.44 Treatment ..............................................................................144 Analysis of Variance for CRIM Fit...
Distributionally robust expectation inequalities for structured ...
2015-05-04T23:59:59.000Z
sisting of all distributions sharing a known mean and variance, contains distributions that are not realistic in .... As in the previous case, the method described in [29] is applicable only to situations in ...... Optimal Control for Load. Alleviation in ...
Modeling aviation's global emissions, uncertainty analysis, and applications to policy
Lee, Joosung Joseph, 1974-
2005-01-01T23:59:59.000Z
(cont.) fuel burn results below 3000 ft. For emissions, the emissions indices were the most influential uncertainties for the variance in model outputs. By employing the model, this thesis examined three policy options for ...
Math 519 B. Davis Qualifying Examination January, 2011 Do not ...
1911-10-10T23:59:59.000Z
time at random until all the fish remaining in the pond are the same color. Find the expectation and the variance of the number of fish remaining in the pond.
MATH 367, spg 98, CHAPTER 6 Section 3, Apr 1: Normal Distribution
Reinhold-Larsson, Karin
has 100 lightbulbs whose lifetimes are independent random variables wi* *th a mean of 5 hours and variance also 5. If the lightbulbs are used one at a time, with * *a failed bulb being immediately
Calibration of Stochastic Convenience Yield Models For Crude Oil Using the Kalman Filter
Vuik, Kees
Calibration of Stochastic Convenience Yield Models For Crude Oil Using the Kalman Filter A and variance of the Ornstein-Uhlenbeck process . . . . . . . . . . . . . . . . . . . . 7 2.2 Market price of a future delivery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.4 Price valuation
Collings, Iain B.
Information Distribution of OFDM-Based Spatial Multiplexing: Exact Variance and Outage Approximation Matthew R of Electrical and Information Engineering, University of Sydney, Australia Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand Department of Electrical
Efficient Estimation in a Regression Model with Missing Responses
Crawford, Scott
2012-10-19T23:59:59.000Z
This article examines methods to efficiently estimate the mean response in a linear model with an unknown error distribution under the assumption that the responses are missing at random. We show how the asymptotic variance is affected...
Improvements and applications of the Uniform Fission Site method in Monte Carlo
Hunter, Jessica Lynn
2014-01-01T23:59:59.000Z
Monte Carlo methods for reactor analysis have been in development with the eventual goal of full-core analysis. To attain results with reasonable uncertainties, large computational resources are needed. Variance reduction ...
Cleere, Jason James
1998-01-01T23:59:59.000Z
were birth weight (BW), weaning weight (WW), gain on grass (GG), feedlot average daily gain (FG), and slaughter weight (SW). Analyses of variance were performed using the procedures of SAS (1988) to determine differences between CC, family code nested...
Evaluation of Heat Stress and Strain in Electric Utility Workers
Brown, Eric Nicholas
2013-01-01T23:59:59.000Z
load variance. 9. Using HR rec set-points of 110 bpm and120 bpm both correlate well with increasing exposures. 10.rate set- points of 110 bpm and 120 bpm correlated well with
Special Coating Emission Control System At Goulds Pumps ITT Industries
Caropolo, B.; Evans, T.
The Clean Air Act Amendments of 1990 required significant changes for users of industrial paints and coatings. New York State requires users of highly volatile coatings to meet additional regulations, and apply for special permits and variances...
King, Jennifer Jean
2006-04-12T23:59:59.000Z
satisfaction among 70 individual members of dual-career couples. A multivariate analysis of variance was utilized to investigate the relationship between gender ideology and the criterion measures. Gender ideology was partially associated with gender role...
Order Stability in Supply Chains: Coordination Risk and the Role of Coordination Stock
Croson, Rachel
The bullwhip effect describes the tendency for the variance of orders in supply chains to increase as one moves upstream from consumer demand. We report on a set of laboratory experiments with a serial supply chain that ...
Considering that preprocessing is an important phase in linear programming, it .... estimated by a simple statistical method based on ANOVA (analysis of variance). ... rigid circuit if every cycle of length ? 4 has a chord (an edge connecting two ...
Solar and Wind Easements & Local Option Rights Laws
Broader source: Energy.gov [DOE]
Minnesota law also allows local zoning boards to restrict development for the purpose of protecting access to sunlight. In addition, zoning bodies may create variances in zoning rules in...
Cleere, Jason James
1998-01-01T23:59:59.000Z
were birth weight (BW), weaning weight (WW), gain on grass (GG), feedlot average daily gain (FG), and slaughter weight (SW). Analyses of variance were performed using the procedures of SAS (1988) to determine differences between CC, family code nested...
of variance. These factors are related to hematite plus goethite, clay minerals, organic matter, and carbonate, probably chlorite; separated hematite and goethite into two factors; and clarified the nature of the clay
Galtchouk, Leonid
2008-01-01T23:59:59.000Z
An adaptive nonparametric estimation procedure is constructed for the estimation problem of heteroscedastic regression when the noise variance depends on the unknown regression. A non-asymptotic upper bound for a quadratic risk (an oracle inequality) is constructed.
2002-01-2538 Subject Effects Exhibited in Human Posture in
Akin, David
, both environments are used extensively for both research and mission operations purposes despite a lack sickness. Nonetheless, statistically significant ANOVA (analysis of variance) outcomes (p subject. These results indicate that individual posture maintenance strategies vary in both environments
A quadrature-based technique for robust design with computer simulations
Lin, Yiben
2007-01-01T23:59:59.000Z
This thesis presents a method for estimating transmitted variance to enable robust parameter design in computer simulations. This method is based on the Hermite-Gaussian quadrature for a single input. It is extended to ...
Farmers Adoption of Genetically Modified Varieties with Input Traits
Alexander, Corinne; Fernandez-Cornejo, Jorge; Goodhue, Rachael E
2003-01-01T23:59:59.000Z
the Mean and Variance of GM Crop Yields and Total Costs per41 C.2. Share in GM Crops: Survey Respondents and NASSproperties of GM and non-GM crops obtained from the focus
Lugo Ibarra, Cruz Yolanda
1999-01-01T23:59:59.000Z
the existing copies of the princess editions and the other editions that followed them, hence, making the collation process to find the variances between the texts a difficult task. Until recently, the conventional ''Pen and Paper'' (PP) (manual) method has...
Smith, William
2012-07-16T23:59:59.000Z
-casting Guides). A unidimensional self-classification measure was developed based on my guide typology and discriminant analysis revealed it performed as well as a multidimensional measure of specialization. Ultimately, analysis of variance revealed significant...
Sharp non-asymptotic oracle inequalities for nonparametric heteroscedastic regression models
Galtchouk, Leonid
2010-01-01T23:59:59.000Z
An adaptive nonparametric estimation procedure is constructed for heteroscedastic regression when the noise variance depends on the unknown regression. A non-asymptotic upper bound for a quadratic risk (oracle inequality) is obtained
Tweedie Family Densities: Methods of Evaluation
Smyth, Gordon K.
of Queensland, St Lucia, Q 4072, Australia. 2 University of Southern Queensland, Toowoomba, Q 4350, Australia. Tweedie family densities are characterised by power variance functions of the form V[µ] = µp , where p
Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling
Smyth, Gordon K.
. Smyth Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia Bent Jųrgensen, dispersion modelling, double generalized linear models, power variance function, REML, risk theory of Medical Research, Post Office, Royal Melbourne Hospital, Parkville, VIC 3050, Australia 1 #12
BusBuzzard and WideWorld : decreasing the uncertainty of multimodal transportation
Martin-Anderson, Brandon
2014-01-01T23:59:59.000Z
Recent research has found that in some cases travel time variance is more important than mean travel time in travel mode choice. This implies shared infrastructure transportation modes prone to service unreliability stand ...
Chaudhari, Qasim Mahmood
2009-05-15T23:59:59.000Z
. This dissertation focuses on deriving e±cient estimators for the clock parameters of the network nodes for synchronization with the reference node and the estimators variance thresholds are obtained to lower bound the maximum achievable performance. For any general...
Schmid, Peter John
1998-01-01T23:59:59.000Z
caused by alterations undertaken to provide accessibility is evaluated through an assessment of the success rate of requests for variance which are based on historic preservation. This assessment is made through a review of project files for historic...
An Adaptive FPGA Architecture with Process Variation Compensation and Reduced Leakage
Najm, Farid N.
to their perfor- mance. Based on this classification, the architecture adap- tively body-biases these resources of the FPGA that have a positive slack. Overall, this architecture minimizes the timing variance of within
Variable Selection and Function Estimation Using Penalized Methods
Xu, Ganggang
2012-02-14T23:59:59.000Z
paragraphs give brief introductions to each of the two topics. Infinite variance autoregressive models are important for modeling heavy-tailed time series. We use a penalty method to conduct model selection for autoregressive models with innovations...
Ferrari, Raffaele
Submesoscale (1200 km) wavenumber spectra of kinetic and potential energy and tracer variance are obtained from in situ observations in the Gulf Stream region and in the eastern subtropical North Pacific. In the Gulf ...
ORIGINAL ARTICLE Fatty Acid Profile of Sunshine Bass: I. Profile Change is Affected
) or a 50:50 blend of FO and coconut (CO), grapeseed (GO), linseed (LO), or poultry (PO) oil. For the final. Abbreviations ANOVA Analysis of variance CO Coconut oil DHA Docosahexaenoic acid, 22:6n-3 EPA Eicosapentaenoic
Energy, water, and broad-scale geographic patterns of species richness
2003-01-01T23:59:59.000Z
the interaction between water and energy, either directly orof the variance. Also, both water and energy inputs play aAlter- natively, both water and energy are critical to
IT adoption in hospitals : social networking, governance and the clockspeed of change
Samarth, Chandrika N. (Chandrika Nayantara)
2007-01-01T23:59:59.000Z
The healthcare industry is expanding swiftly and total healthcare expenditures are expected to reach 18% of GDP by 2008. However there exist steep variances in quality of care and high incidences of medical error. This has ...
Geiser, Saul; Maria Veronica Santelices
2007-01-01T23:59:59.000Z
variance in cumulative fourth-year than first-year collegefactors and cumulative fourth-year grades, which is ain predicting cumulative fourth-year grade-point average at
Rooting and juvenile growth differences in half-sib seedlings of Gmelina arborea, Linn.
Hicks, Van Joseph
1980-01-01T23:59:59.000Z
variances and covariances in a natural population of doblolly pine (Pinus taeda L. ). Pub Ph. D. Dissertation, N. C. State University, Raleigh, N. C. 128 p. Stromquist, L. H. 1975. Propagation of Scots pine by. cuttings. Sveriges Skogsvardsforbunds...
Aguirre, Vincent Phillip
2014-12-12T23:59:59.000Z
Scant research exists regarding the nature of variance in overall level of Health-Related Quality of Life (HRQOL) and parent-child informant perspectives of HRQOL specific to children with functional and organic gastrointestinal (GI) disorders...
Ecology, 80(4), 1999, pp. 12781288 1999 by the Ecological Society of America
two areas of the Norwegian Skagerrak coast. In both cases, the variance is intermediate between the Norwegian Skagerrak coast is density dependent, probably because of cannibalism, com- petition for habitat
Massa, Idalia
2011-10-21T23:59:59.000Z
-way Analysis of Variance. Two main effects and two interaction effects were explored: does the students' ethnic/racial background moderate the teachers' at risk score (ARS) regardless of the behavior displayed?; does the type of behavioral expression moderate...
* corresponding author A Statistical Analysis of Student Design Projects
Sobek II, Durward K.
* corresponding author A Statistical Analysis of Student Design Projects: Helping Good Design activity. A regression analysis indicates that approximately 60% of the variance in design outcome can positively with design quality. The data codification and analysis procedures are presented
An efficient Bayesian formulation for production data integration into reservoir models
Leonardo, Vega Velasquez
2005-02-17T23:59:59.000Z
) ______________________________ _______________________________ W. John Lee Bani K. Mallick (Member) (Member) ______________________________ Hans Juvkam..., let K be defined as19 reK ?= 2? ............................................................................................................(5.1) where 2 is the variance of the reservoir parameters, and r is the normalized radial distance...
Aguirre, Vincent Phillip
2014-12-12T23:59:59.000Z
Scant research exists regarding the nature of variance in overall level of Health-Related Quality of Life (HRQOL) and parent-child informant perspectives of HRQOL specific to children with functional and organic gastrointestinal (GI) disorders...
Analyses of power system vulnerability and total transfer capability
Yu, Xingbin
2006-04-12T23:59:59.000Z
and practical analysis is conducted for the application of variance reduction techniques. The dissertation also proposes a comprehensive approach for a TTC (Total Transfer Capability) calculation with consideration of thermal, voltage and transient stability...
Loss, Daniel
among politicians before the bill might be passed. There is no denying that the JWST is running behind of all will be the loss to science. As Julianne Delcanton wrote on the blog Cosmic Variance, "in many
A&A manuscript no. (will be inserted by hand later)
in spec troscopy, particularly for radial velocity determinations (eg. Philip & Latham 1985). Simkin to as the CCF). Simkin (1974) described the use of the crossvariance function, Weiss, Jenkner & Wood (1978
Solar Water Heating Requirement for New Residential Construction
Broader source: Energy.gov [DOE]
As of January 1, 2010, building permits may not be issued for new single-family homes that do not include a SWH system. The state energy resources coordinator may provide a variance for this...
On the Implementation of Interior Point Decomposition Algorithms for ...
2005-10-31T23:59:59.000Z
Oct 31, 2005 ... Their analysis extends the earlier results of Zhao ..... The seminal mean-variance model of Markowitz [15] provides a quantitative framework for establishing a balance of the risk and return characteristics of various asset ...
Special Coating Emission Control System At Goulds Pumps ITT Industries
Caropolo, B.; Evans, T.
2001-01-01T23:59:59.000Z
The Clean Air Act Amendments of 1990 required significant changes for users of industrial paints and coatings. New York State requires users of highly volatile coatings to meet additional regulations, and apply for special permits and variances...
de Lijser, Peter
of variance, non-parametric tests. Computer-aided analysis of real data. Graphical techniques, generating Marine Biology (3) Prerequisite: Biology 101 or equivalent. Survey of marine plants and animals
greedy randomized adaptive search procedure
2003-10-14T23:59:59.000Z
Oct 14, 2003 ... setup costs and linear delay penalties. Computers ... Comparing new heuristics for the pure integer capacitated plant ... Implementation of a variance reduction ..... Decision support for consumer direct grocery initiatives.
Mixed Layer Lateral Eddy Fluxes Mediated by Air-Sea Interaction
Shuckburgh, Emily
The modulation of airsea heat fluxes by geostrophic eddies due to the stirring of temperature at the sea surface is discussed and quantified. It is argued that the damping of eddy temperature variance by such airsea ...
Essays on the household-level effects of house price growth
Sitgraves, Claudia Ayanna
2009-01-01T23:59:59.000Z
Indicator Constant Table 2.4 - Hedonic Price Regressions,Indicator Constant Table 2.5 - Hedonic Price Regressions,of improvements Table 2.32 - Unadjusted price variance - All
Schmid, Peter John
1998-01-01T23:59:59.000Z
opportunity for creative solutions to the design challenge of making these historic buildings accessible to persons with disabilities. The effectiveness of the variance process to protect the intrinsic value of historic properties from damage or destruction...
Stochastic flow and transport through multifractal porous media
Essiam, Albert K
2001-01-01T23:59:59.000Z
Stochastic theories of flow and transport in aquifers have relied on the linear perturbation approach that is accurate for flow fields with log-conductivity variance cr2 less than unity. Several studies have found that the ...
Mgendi, Mlenge 1971-
2012-12-03T23:59:59.000Z
in health studies evaluate groups of people rather than individuals. The current study found that weather variables such as temperature and atmospheric pressure partially explained pneumonia variance. The strength of weather-pneumonia association varies...
Review: Logistic regression, Gaussian nave Bayes, linear regression, and their connections
Mitchell, Tom
Review: Logistic regression, Gaussian naļve Bayes, linear regression, and their connections Yi, and feature selection #12;Outline Logistic regression Decision surface (boundary) of classifiers Generative vs. discriminative classifiers Linear regression Bias-variance decomposition and tradeoff
Gate fidelity fluctuations and quantum process invariants
Magesan, Easwar; Emerson, Joseph [Institute for Quantum Computing and Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1 (Canada); Blume-Kohout, Robin [Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)
2011-07-15T23:59:59.000Z
We characterize the quantum gate fidelity in a state-independent manner by giving an explicit expression for its variance. The method we provide can be extended to calculate all higher order moments of the gate fidelity. Using these results, we obtain a simple expression for the variance of a single-qubit system and deduce the asymptotic behavior for large-dimensional quantum systems. Applications of these results to quantum chaos and randomized benchmarking are discussed.
Lamprecht, William Otto
1967-01-01T23:59:59.000Z
and understanding which made it ail worth while. TABLE OF CONTENTS Page ACKNOWLEDGMENTS LIST OF TABLES LIST OF FIGURES V Vl Chapter I. INTRODUCTIOiN II. EXPERIMENTAL PROCEDURE III. MULTIPLE REGRFSSION ANALYSIS ON DIETARY FEED INTAKE IV. DISCRIMINANT... Including Periods 8. Discriminant Analysis - Preliminary Analysis (17 Discriminants) 28 35 9. Oiscriminant Analysis Lambda \\lalues and Analysis of Variance . 38 10. Discriminant Analysis Lambda Values and Analysis of Variance on Log Transformed Data...
Subterranean clover as a cover crop and nitrogen source for minimum-tillage grain sorghum production
Lemon, Robert
1986-01-01T23:59:59.000Z
analysis of variance for grain sorghum population densities, 1984. 24 Table 3. Mean squares from analysis of variance for grain sorghum population densities, 1985. 25 Table 4. Plant densities as affected by tillage and applied N. . 26 Table 5. Mean... by grain. Table 24. Effects of tillage and applied N on N removed by biomass Table 25. Total N removed in aboveground dry matter as affected by tillage and applied N. Table 26. Clover dry matter production, N concentration, and total N content...
Effects of cloud seeding activities on the distribution of rainfall in the Texas High Plains
Bomar, George Wayne
1975-01-01T23:59:59.000Z
of the areal percentage change in rainfall of the control and seeded counties disclosed that the change sustained by the seeded counties closely matched that of the control counties. An analysis of variance procedure revealed no statistical difference... in rainfall Graphical investigation of the general rainfall patterns Areal percentage changes in rainfall 46 53 Stat. istical analysis of rainfall variances 62 Application of analysis of var'ance upon monthly rainfall Examination of observed...
Poole, D. Donald
1957-01-01T23:59:59.000Z
lines of castorbeans ? I4.3 . 13, An analysis of variance of magnesium percentages in leaf blade tissue of resistant and susceptible lines of castor? beans............................................... .. MINW 19* Magnesium content, as percentage... lines of castorbeans ? I4.7 ? 21. An analysis of variance of potassium percentages in leaf blade tissue of resistant and susceptible lines of castor? beans. . .................... .................................. I48. 22* Potassium content...
Pre- and post-emergence weed control in bermudagrass turf
Duble, Richard L
1965-01-01T23:59:59.000Z
Station, Texas, 1963. 34 10 Effects of arsenicals on common bermudagrass and nutsedge after 3 applications, College Station, Texas. 1964. 35 v Table Page An evaluation of the phytotoxicity of arseniqals to Tifgreen bermudagrass pnder golf green... to arsenic, College Station, Texas, 1964. 45 16 The analysis of variance of pre-emergence crabgrass control data under field conditions with 4-hydroxy- 3-nitrobenzene ar sonic acid, College Station, Texas, 1963. 59 17 The analysis of variance...
The biology and control of the three-cornered alfalfa hopper Spissistilus festinus (Say)
Jordan, Cedric Roy
1952-01-01T23:59:59.000Z
................................................ ^2 5. Dosage-Mortality Curves for the Four Effective Materials Used in Laboratory Tests............................................................ OC 6. Curves Representing the Comparative Toxicity of Four In? secticides in Field Tests... (Nymphs per 100 Stems - 5 Days After Treatment)......... 126 XLVI. Field Experiment II, 1951> Analysis of Variance (Nymphs per 100 Stems - 7 Days After Treatment)......... I27 XLVII. Field Experiment II, 1951? Analysis of Variance (Nymphs per 100...
Effect of age and concentration of sperm on conception rate and litter size in swine
Licon Quintero, Mario Alberto
1971-01-01T23:59:59.000Z
Effect of parity on conception rate and litter size Analysis of variance for conception rate Analysis of variance for litter size 22 23 24 INTRODUCTION The artificial insemination of swine evolved, in Norway, Japan, England, The Netherlands... artificial insemination. Most of the researchers dealing with artificial insemination of swine recommend that approximately five billion live sperm cells be used per insemination. However, other investigators have suggested that with two billion...
The Low-Income Housing Program in the Louisiana and Mississippi Gulf Opportunity Zones
Christman, Casey; Johnson, David; Rho, Eunju; Stein, Eric; Taylor, Beth
2008-01-01T23:59:59.000Z
1 Texas A&M University The Bush School of Government and Public Service The Low-Income Housing Program in the Louisiana and Mississippi Gulf Opportunity Zone For The Congressional Research Service Contract... ............................................. 40? Table 24: Variance in Estimates - LIHTC Projects in Louisiana .......................... 40? 6 Table 25: Variance in Estimates - LIHTC Units in Selected Parishes ................. 42? Table 26: Proposed Block Counting (e.g. District Level...
Fuentes, Rick R
1988-01-01T23:59:59.000Z
to this type of item may be falsified. The falsification of information on unverifiable items may result in an artificially inflated score that may reduce the validity coefficient. Indeed, it has been found that faking information on even one "bogus" item... in a questionnaire introduces error variance that may distort the obtained validity coefficients (Pannone, 1983). Error variance as a result of faking or cheating may have a deleterious effect on an instrument used for personnel selection. Thus...
Certain antibiotics in the experimental formation of urinary calculi in fattening lambs
Robbins, Joe Dennis
1959-01-01T23:59:59.000Z
o e' ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ I 27 ~ 27 Analysis bf Variance of Serum Potassium Ievels Due to Treatments . . . . . . ' ~ 16. Analysis of Variance of Serum Potassium Levels for Lambs With and Without Calculi . . . ' . . . . . . . . . 29 17... of potaislum acid phosphate (X&HPO~) per pound of feed, The addition of calcium carbonate (CaCO ) or phosphoric acid (H PO~) singularly or in combination ' did not produce the significant incidence of calculi that potassium acid phosphate (K&HPO) ) did when...
Ozone treatment in a closed culture system for Macrobrachium rosenbergii
Yamaguchi, Ryoji
1978-01-01T23:59:59.000Z
periodically and analyzed for total ammonia nitrogen and nitrate nitrogen concentrations using the Direct Nessleriza- tion Method and the Cadmium Reduction Method, respectively (APHA, 1976) . 2. Chemical oxygen demand (COD) and ozonation: The solutions... level. 29 7. Tests of the homogeneity of variance and oneway analysis of variance for the effects of ozonation on two levels of nitrite nitrogen concentration with 95X confidence limit. . . . 31 8. Effects of ozone on ammonia, nitrite, nitrate, COD...
Pre- and post-emergence weed control in bermudagrass turf
Duble, Richard L
1965-01-01T23:59:59.000Z
Station, Texas, 1963. 34 10 Effects of arsenicals on common bermudagrass and nutsedge after 3 applications, College Station, Texas. 1964. 35 v Table Page An evaluation of the phytotoxicity of arseniqals to Tifgreen bermudagrass pnder golf green... to arsenic, College Station, Texas, 1964. 45 16 The analysis of variance of pre-emergence crabgrass control data under field conditions with 4-hydroxy- 3-nitrobenzene ar sonic acid, College Station, Texas, 1963. 59 17 The analysis of variance...
Sorensen, F.C.; Weber, J.C.
1994-02-01T23:59:59.000Z
Adaptive genetic variation in seed and seedling traits was evaluated for 280 families from 220 locations. Factor scores from three principal components were related by multiple regression to latitude, longitude, elevation, slope, and aspect of the seed source, and by classification analysis to seed zone and elevation band in seed zone. Location variance was significant but not large. Multiple regression equations explained less than 50 percent of location variance. Slope-aspect variables were important.
3.5. EFFICIENCY FACTORS 63 3.5 Efficiency factors
Bailey, R. A.
3.5. EFFICIENCY FACTORS 63 3.5 Efficiency factors For comparison we consider a complete) and the variance of the estimator of x is (x L-x)2 CBD, which is equal to r-1x x2 CBD. Definition The efficiency to a complete-block design with variance 2 CBD and the same replication is x x rx L-x 2 CBD 2 and the efficiency
Effects of centrifugation on bovine semen stored at 5°C and at -196°C
Escriva-Soto, Jose Luis F
1968-01-01T23:59:59.000Z
Considerations Semen Extended in Egg-Yolk-Citrate (EYC) Pelleted Semen 28 34 44 SUMMARY . LITERATURE CITED APPENDIX . 59 62 Photoelectrical Estimation of Sperm Concentration Freezing of Bovine Semen in Concentrated Pelleted Form 69 LIST OF TABLES.../ml at 6 Hours of Age. Analysis of Variance 43 Pelleted Semen. Mean Values Motile Sperm/pellet (x 10 ). 6 Pelleted Semen. Percent Motile Sperm/pellet After Freezing. Analysis of Variance. 45 10 Pelleted Semen. Percent Motile Sperm/pellet After...
Bao, Jie; Chu, Yanjun; Xu, Zhijie; Tartakovsky, Alexandre M.; Fang, Yilin
2014-02-02T23:59:59.000Z
We present an analysis of the geomechanical effects of injection rate fluctuations for geological sequestration of carbon dioxide (CO2). Initially, we present analytical solutions for the effects of injection rate fluctuations on CO2 fluid pressure spatial distribution and temporal evolution for a typical injection scenario. Numerical calculations are performed using a finite element method to investigate the effects of injection rate fluctuations on geomechanical deformation, stresses, and potential failure of the aquifer and caprock layers. The numerical method was first validated by the fluid pressure distributions good agreement with the analytical solution. It was shown that for any Gaussian fluctuations of injection rate Q with given mean Q ? and variance ?_Q, the coefficients of variance for fluid pressure (?_p=?_p?p ? ), deformation (?_u=?_u?u ? ), and stresses (?_?=?_??? ? ) increase linearly with the coefficient of variance for injection rate (?_Q=?_Q?Q ? ). The proportional constants are identified, and the fluctuations have the most pronounced effect on the geomechanical stresses, and, therefore, on the potential failure of the aquifer and caprock layers. Instead of expensive computational simulation, this study provides an efficient tool to estimate the geomechanical response variance to injection rate fluctuation. A failure analysis was presented based on the numerical results, where probability of failure was estimated for fluctuating injection rates with different mean and variance during the entire injection period. It was found that with increasing injection rate fluctuation, the failure probability increases significantly. Therefore, the risk associated with injection rate fluctuations should be carefully evaluated.?
System level analysis and control of manufacturing process variation
Hamada, Michael S.; Martz, Harry F.; Eleswarpu, Jay K.; Preissler, Michael J.
2005-05-31T23:59:59.000Z
A computer-implemented method is implemented for determining the variability of a manufacturing system having a plurality of subsystems. Each subsystem of the plurality of subsystems is characterized by signal factors, noise factors, control factors, and an output response, all having mean and variance values. Response models are then fitted to each subsystem to determine unknown coefficients for use in the response models that characterize the relationship between the signal factors, noise factors, control factors, and the corresponding output response having mean and variance values that are related to the signal factors, noise factors, and control factors. The response models for each subsystem are coupled to model the output of the manufacturing system as a whole. The coefficients of the fitted response models are randomly varied to propagate variances through the plurality of subsystems and values of signal factors and control factors are found to optimize the output of the manufacturing system to meet a specified criterion.
Variation and correlation of hydrologic properties
Wang, J.S.Y. [Lawrence Berkeley Lab., CA (United States)
1991-06-01T23:59:59.000Z
Hydrological properties vary within a given geological formation and even more so among different soil and rock media. The variance of the saturated permeability is shown to be related to the variance of the pore-size distribution index of a given medium by a simple equation. This relationship is deduced by comparison of the data from Yucca Mountain, Nevada (Peters et al., 1984), Las Cruces, New Mexico (Wierenga et al., 1989), and Apache Leap, Arizona (Rasmussen et al., 1990). These and other studies in different soils and rocks also support the Poiseuille-Carmen relationship between the mean value of saturated permeability and the mean value of capillary radius. Correlations of the mean values and variances between permeability and pore-geometry parameters can lead us to better quantification of heterogeneous flow fields and better understanding of the scaling laws of hydrological properties.
Some results on optimum allocation for sampling on two occasions
Shimizugawa, Hisako
1966-01-01T23:59:59.000Z
. Optimum allocation of m and u fcr the estimation of Y when the total oost is fixed to cO + c R . n 21 2. Optimum allocation of m and u. for the estimation of Y when the total cost is fixed to cO + c n, (i. e. , u R n). The minimum variance of y ~ (1/Q... - I/H) S . . . 2$ Optimum allocation of m and u for the estimation oi' Y 2 when the variance of y is fixed to (1/Qd ? I/I) S . . . 25 4. Optimum allocation of m and u for the estimation of I 2 Y when the variance of y is fixed to (1/n - I/K) S d...
Energy Dependence of Multiplicity Fluctuations in Heavy Ion Collisions
Lungwitz, B; Anticic, T; Baatar, B; Barna, D; Bartke, J; Betev, L; Bia?kowska, H; Blume, C; Boimska, B; Botje, M; Bracinik, J; Bramm, R; Buncic, P; Cerny, V; Christakoglou, P; Chung, P; Chvala, O; Cramer, J G; Csató, P; Dinkelaker, P; Eckardt, V; Flier, D; Fodor, Z; Foka, P; Friese, V; Gįl, J; Ga“zdzicki, M; Genchev, V; Georgopoulos, G; G?adysz, E; Grebieszkow, K; Hegyi, S; Höhne, C; Kadija, K; Karev, A; Kikola, D; Kliemant, M; Kniege, S; Kolesnikov, V I; Kornas, E; Korus, R; Kowalski, M; Kraus, I; Kreps, M; Laszlo, A; Lacey, R; Van Leeuwen, M; Lévai, Peter; Litov, L; Makariev, M; Malakhov, A I; Mateev, M; Melkumov, G L; Mischke, A; Mitrovski, M; Molnįr, J; Mrówczynski, S; Nicolic, V; Pįlla, G; Panagiotou, A D; Panayotov, D; Petridis, A; Peryt, W; Pikna, M; Pluta, J; Prindle, D; Pühlhofer, F; Renfordt, R; Roland, C; Roland, G; Rybczynski, M; Rybicki, A; Sandoval, A; Schmitz, N; Schuster, T; Seyboth, P; Siklér, F; Sitįr, B; Skrzypczak, E; Slodkowski, M; Stefanek, G; Stock, R; Strabel, C; Ströbele, H; Susa, T; Szentpétery, I; Sziklai, J; Szuba, M; Szymanski, P; Trubnikov, V; Varga, D; Vassiliou, M; Veres, G I; Vesztergombi, G; Vranic, D; Wetzler, A; W?odarczyk, Z; Wojtaszek, A; Yoo, I K; Zimįnyi, J; Lungwitz, Benjamin
2006-01-01T23:59:59.000Z
The energy dependence of multiplicity fluctuations was studied for the most central $Pb+Pb$ collisions at $20A$, $30A$, $40A$, $80A$ and $158A$ GeV by the NA49 experiment at the CERN SPS. The multiplicity distribution for negatively and positively charged hadrons is significantly narrower than Poisson one for all energies. No significant structure in energy dependence of the scaled variance of multiplicity fluctuations is observed. The measured scaled variance is lower than the one predicted by the grand-canonical formulation of the hadron-resonance gas model. The results for scaled variance are in approximate agreement with the string-hadronic model UrQMD.
Statistical Analysis Of Tank 5 Floor Sample Results
Shine, E. P.
2012-08-01T23:59:59.000Z
Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, and the radionuclide, elemental, and chemical concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements above their MDCs. The identification of distributions and the selection of UCL95 procedures generally followed the protocol in Singh, Armbya, and Singh [2010]. When all of an analyte's measurements lie below their MDCs, only a summary of the MDCs can be provided. The measurement results reported by SRNL are listed in Appendix A, and the results of this analysis are reported in Appendix B. The data were generally found to follow a normal distribution, and to be homogenous across composite samples.
STATISTICAL ANALYSIS OF TANK 5 FLOOR SAMPLE RESULTS
Shine, E.
2012-03-14T23:59:59.000Z
Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, radionuclide, inorganic, and anion concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements above their MDCs. The identification of distributions and the selection of UCL95 procedures generally followed the protocol in Singh, Armbya, and Singh [2010]. When all of an analyte's measurements lie below their MDCs, only a summary of the MDCs can be provided. The measurement results reported by SRNL are listed in Appendix A, and the results of this analysis are reported in Appendix B. The data were generally found to follow a normal distribution, and to be homogeneous across composite samples.
Statistical Analysis of Tank 5 Floor Sample Results
Shine, E. P.
2013-01-31T23:59:59.000Z
Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, and the radionuclide1, elemental, and chemical concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements above their MDCs. The identification of distributions and the selection of UCL95 procedures generally followed the protocol in Singh, Armbya, and Singh [2010]. When all of an analyte's measurements lie below their MDCs, only a summary of the MDCs can be provided. The measurement results reported by SRNL are listed, and the results of this analysis are reported. The data were generally found to follow a normal distribution, and to be homogenous across composite samples.
Water Vapor Turbulence Profiles in Stationary Continental Convective Mixed Layers
Turner, D. D.; Wulfmeyer, Volker; Berg, Larry K.; Schween, Jan
2014-10-08T23:59:59.000Z
The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) programs Raman lidar at the ARM Southern Great Plains (SGP) site in north-central Oklahoma has collected water vapor mixing ratio (q) profile data more than 90% of the time since October 2004. Three hundred (300) cases were identified where the convective boundary layer was quasi-stationary and well-mixed for a 2-hour period, and q mean, variance, third order moment, and skewness profiles were derived from the 10-s, 75-m resolution data. These cases span the entire calendar year, and demonstrate that the q variance profiles at the mixed layer (ML) top changes seasonally, but is more related to the gradient of q across the interfacial layer. The q variance at the top of the ML shows only weak correlations (r < 0.3) with sensible heat flux, Deardorff convective velocity scale, and turbulence kinetic energy measured at the surface. The median q skewness profile is most negative at 0.85 zi, zero at approximately zi, and positive above zi, where zi is the depth of the convective ML. The spread in the q skewness profiles is smallest between 0.95 zi and zi. The q skewness at altitudes between 0.6 zi and 1.2 zi is correlated with the magnitude of the q variance at zi, with increasingly negative values of skewness observed lower down in the ML as the variance at zi increases, suggesting that in cases with larger variance at zi there is deeper penetration of the warm, dry free tropospheric air into the ML.
Toward Joint Hypothesis-Tests Seismic Event Screening Analysis: Ms|mb and Event Depth
Anderson, Dale [Los Alamos National Laboratory; Selby, Neil [AWE Blacknest
2012-08-14T23:59:59.000Z
Well established theory can be used to combine single-phenomenology hypothesis tests into a multi-phenomenology event screening hypothesis test (Fisher's and Tippett's tests). Commonly used standard error in Ms:mb event screening hypothesis test is not fully consistent with physical basis. Improved standard error - Better agreement with physical basis, and correctly partitions error to include Model Error as a component of variance, correctly reduces station noise variance through network averaging. For 2009 DPRK test - Commonly used standard error 'rejects' H0 even with better scaling slope ({beta} = 1, Selby et al.), improved standard error 'fails to rejects' H0.
Phenological development of grain sorghum as affected by planting date
Medley, James C.
1998-01-01T23:59:59.000Z
. Variance Source df Mean S uares Pr)F 1994 Model Replications (REP) Planting Date (PD) PD x REP Genotype (G) GxPD 25 6. 4867 0. 0001 1. 5238 0. 0038 4. 5667 0. 0001 1. 7417 0. 0040 1. 0417 0. 0366 112. 6667 0. 0001 Error 70 0. 4542 1995 Model... College Station, TX, 1994 and 1995. Variance Source df Mean S uares Pr)F 1994 Model Replications (REP) Planting Date (PD) PD x REP Genotype (G) Gx PD 25 11. 9204 0. 3913 256. 7604 0. 4509 2. 6104 4. 4604 0. 0001 0. 2751 0. 0001 0. 1924...
A Monte Carlo study of some unbiased and approximately unbiased ratio estimators
Beegle, LeNelle Darlene
1966-01-01T23:59:59.000Z
n N ' x where E denotes expectation, S and, S are the population 2 2 x mean squares and, g is the population correlation coefficient between x and. y, a n approximate expreasion for the bias is given by &(r) . (r-R) ' ? (- ? -) (R. " -)P" g... for the variance of r can be obtained by a Taylor expansion and. is given by &(r) = (- - -) ? (S - 29RS S +R S ) 1 1 1 2 2 2 n N -2 y xy x X (10) the estimator of R would be f/X and its variance is 2 V(P/X) = (- - N) X (11) If the sample x...
"Speed" - statistical programs for evaluating empirical data
Vivian, Herman Taft
1970-01-01T23:59:59.000Z
g r e s s i on?an 3 Ra ~ or. 1 c An s, l. y. s i s 5. Polynor ia' Regression 6. As?nstotic Regression Non-Linear Regression Ansly is of Variance The eight programs avails le in this cat. gory are: l. Analysis ot Variance for One-Way Design 2... system entitled "Statistical Analysis System: (SAS] [6]. It would appear that this svstem has extracteo. the Fortran IV subrou+inc li'brary [7], and a few of the programs i'rom IBM's Scientific -ubroutine Package [8] to give them a workable system...
Percy, Richard Greer
1979-01-01T23:59:59.000Z
and Phenotypic Correlations of Seed Traits LITERATURE CITED APPENDIX. 55 57 61 65 VITA 78 LIST OF TABLES TABLE PAGE Harvest dates and meterological data. Model for analyses of variance within generations Model for analyses of variance within... on the basis of their performance in previous leachate in- vestigations. The OR-37-72 and SP37-16-70 strain. , were selected because of their high seed leachate ionic content. Lankart 57 was chosen be- cause of its consistently low seed leachate readings...
Control algorithms for dynamic attenuators
Hsieh, Scott S., E-mail: sshsieh@stanford.edu [Department of Radiology, Stanford University, Stanford, California 94305 and Department of Electrical Engineering, Stanford University, Stanford, California 94305 (United States); Pelc, Norbert J. [Department of Radiology, Stanford University, Stanford California 94305 and Department of Bioengineering, Stanford University, Stanford, California 94305 (United States)] [Department of Radiology, Stanford University, Stanford California 94305 and Department of Bioengineering, Stanford University, Stanford, California 94305 (United States)
2014-06-15T23:59:59.000Z
Purpose: The authors describe algorithms to control dynamic attenuators in CT and compare their performance using simulated scans. Dynamic attenuators are prepatient beam shaping filters that modulate the distribution of x-ray fluence incident on the patient on a view-by-view basis. These attenuators can reduce dose while improving key image quality metrics such as peak or mean variance. In each view, the attenuator presents several degrees of freedom which may be individually adjusted. The total number of degrees of freedom across all views is very large, making many optimization techniques impractical. The authors develop a theory for optimally controlling these attenuators. Special attention is paid to a theoretically perfect attenuator which controls the fluence for each ray individually, but the authors also investigate and compare three other, practical attenuator designs which have been previously proposed: the piecewise-linear attenuator, the translating attenuator, and the double wedge attenuator. Methods: The authors pose and solve the optimization problems of minimizing the mean and peak variance subject to a fixed dose limit. For a perfect attenuator and mean variance minimization, this problem can be solved in simple, closed form. For other attenuator designs, the problem can be decomposed into separate problems for each view to greatly reduce the computational complexity. Peak variance minimization can be approximately solved using iterated, weighted mean variance (WMV) minimization. Also, the authors develop heuristics for the perfect and piecewise-linear attenuators which do not requirea priori knowledge of the patient anatomy. The authors compare these control algorithms on different types of dynamic attenuators using simulated raw data from forward projected DICOM files of a thorax and an abdomen. Results: The translating and double wedge attenuators reduce dose by an average of 30% relative to current techniques (bowtie filter with tube current modulation) without increasing peak variance. The 15-element piecewise-linear dynamic attenuator reduces dose by an average of 42%, and the perfect attenuator reduces dose by an average of 50%. Improvements in peak variance are several times larger than improvements in mean variance. Heuristic control eliminates the need for a prescan. For the piecewise-linear attenuator, the cost of heuristic control is an increase in dose of 9%. The proposed iterated WMV minimization produces results that are within a few percent of the true solution. Conclusions: Dynamic attenuators show potential for significant dose reduction. A wide class of dynamic attenuators can be accurately controlled using the described methods.
Universal Protein Distributions in a Model of Cell Growth and Division
Naama Brenner; C. M. Newman; Dino Osmanovic; Yitzhak Rabin; Hanna Salman; D. L. Stein
2015-04-08T23:59:59.000Z
Protein distributions measured under a broad set of conditions in bacteria and yeast exhibit a universal skewed shape, with variances depending quadratically on means. For bacteria these properties are reproduced by protein accumulation and division dynamics across generations. We present a stochastic growth-and-division model with feedback which captures these observed properties. The limiting copy number distribution is calculated exactly, and a single parameter is found to determine the distribution shape and the variance-to-mean relation. Estimating this parameter from bacterial temporal data reproduces the measured universal distribution shape with high accuracy, and leads to predictions for future experiments.
Stidham, Paul Emery
1980-01-01T23:59:59.000Z
in significantly higher mean percent recoveries than did Spherocarb. For both ad- sorbents, the recoveries decreased as storage time increased. while no differences were found in recoveries due to loading concentrations, storage at lower temperatures resulted.... 24 3 Tests of Hypotheses Using The Analysis Of Variance Mean Square lfith Independent Variable (A*B*C) As An Error Term . 29 4 Tests Of Hypotheses Using The Analysis Of Variance Mean Square Independent Variable *O(A*B*C) As An Error Term . 30 5...
Welsh, A. H.; Peterson, A. Townsend; Altmann, Stuart A.
1988-08-01T23:59:59.000Z
are uncorrelated, but that the converse need not be true.) Now, suppose that the component variables can be measured on the same individual; if measurements are made on n individuals, the data can then be written as (Xl,Y,), (X2Y1), . . ., (Xn,Yj. It is usual...(a,b2)" means "is normally distributed with mean a and variance b2." If X and Y are independent, ,ux,iy has a smaller variance than uixy and hence is a more efficient estimator. However, if X and Y have nonzero covariance, [3x,uy is biased and A3 y...
Dust size distribution and concentrations with cottonseed oil mills
Wiederhold, Lee Roy
1976-01-01T23:59:59.000Z
-VOLUME SAMPLES FOR P. S. D OF PARTICLES & 100 um DIAMETER (MMD) ANALYSIS OF VARIANCE ON HIGH-VOLUME SAMPLES FOR P. S. D. OF PARTICLES & 100 um DIAMETER (og) MULTIPLE RANGE TEST FOR MEAN VALUES OF MMD BY AREA MULTIPLE RANGE TEST OF MMD BY MILL PARTICLE SIZE... TEST OF AREA DUST CONCENTRATIONS = 15 Pm IN DIAMETER MULTIPLE RANGE TEST OF MILL DUST CONCENTRATIONS & 15 um IN DIAMETER ANALYSIS OF VARIANCE ON PARTICLE SIZING HEAD SAMPLES OF CONCENTRATIONS FOR PARTICLES & 100 IJBI DIAMETER . . . . 47 47 54...
Studies on fruit cracking of tomatoes
Cotner, Sam Don
1966-01-01T23:59:59.000Z
calcium , 33 Means for naturally occurring cracks as influenced by foliar calcium applications 33 Analysis of variance for tomato fruit cracking as influended by foliar applications of CaC12 36 LIST QF TABLES CONTINUED 17. Analysis of variance...on of the cell contents oi' tomato fruits late in the season have been reported (10). Whatley (37) states that there is a 20 percent increase in osmot1c pressure from mature green to the red ripe stags. Radial cracking may be due to an increase...
Studies on the heritability of factors related to heat tolerance in cattle
Bailey, Curtiss Merkel
1954-01-01T23:59:59.000Z
of the sires~ which is characteristic of a heritable trait. Tables V, VI, VII, VIII, and IZ show that differences between offspring of the sane sire are highIF signif icant, TABLE V ANALISIS OF VARIANCE OF HAIR DENSITY REASONED OH EUUUHAN CATTLE Source... of Variation Mean Square Total Sires Offspring of the sass sire 12 Observations on the sane animal 153 186773 ?? 22oy6 e? 4744 ee significant hoped the . 01 level of probabiIity TABLE VI ANALISIS OF VARIANCE OF HAIR DENSITI MEASURED ON ANGUS CATTLE...
An experimental study of a six key handprint chord keyboard
Wolstein, Sheldon Aaron
1986-01-01T23:59:59.000Z
er Dr. R. Quinn Brackett Head o Department Dr. Leland T. Blank May 1986 ABSTRACT An Exper1mental Study of a Six Key Handprlnt Chord Keyboard (May 1986) Sheldon Aaron Wolstein, B. S. , Texas ASM University Cha1r of Advisory Committee: Dr... PRACTICE ARTICLE UITA 7Z 7B IUU IUB 1U7 11U 111 LIST OF TABLES Page TABLE I Results of Typing Test: Means and Standard Deviations 25 TABLE 2 Means and Variances for Letter Sequence Times 28 TABLE 3 Analysis of Variance for Letter Sequence...
Garcia-Hiraldo, Roberto
1990-01-01T23:59:59.000Z
station. An analysis of hourly precipitation data was performed for three sea-level stations and for a mountain station in order to calculate the historical moments (characteristics) for each one of the stations. These are the mean, variance, lag... the historical records for the sea level stations and the mountain station and a synthetic data was generated. The sensitivity of the theoretical mean and variance to the parameters also was done. As a result it was found that the mean responds in a linearly...
Partial efficiencies of feed conversion of female cattle kept in confinement
Portzer, Sandra Jane
1986-01-01T23:59:59.000Z
FOR BODY SIZE AT FIRST CONCEPTIDN. MODEL I AND &MODEL I I ) . 43 LEAST-SQUARES MEANS AND STANDARD ERRORS FOR BODY SIZE AT FIRST CONCEPTION. MODEL I 14 LEAST-SQUARES MEANS AND STANDARD ERRORS FOR BODY SIZE AT FIRST CONCEPTION. MODEL II . . . 45 15... ANALYSES PF VARIANCE FOR BODY SIZE AT PARTURITIDN. MODEL I AND &MODEL I I) . . . 46 16 LEAST-SQUARES MEANS AND STANDARD ERRORS FOR BODY SIZE AT PARTURITIDN. MODEL 11 17 ANALYSES DF VARIANCE FOR COW BODY SIZE AT 100 DAYS POSTPARTUM 18 LEAST...
The landscape of G-structures in eight-manifold compactifications of M-theory
Babalic, Elena Mirela
2015-01-01T23:59:59.000Z
We consider spaces of "virtual" constrained generalized Killing spinors, i.e. spaces of Majorana spinors which correspond to "off-shell" $s$-extended supersymmetry in compactifications of eleven-dimensional supergravity based on eight-manifolds $M$. Such spaces naturally induce two stratifications of $M$, called the chirality and stabilizer stratification. For the case $s=2$, we describe the former using the canonical Whitney stratification of a three-dimensional semi-algebraic set ${\\cal R}$. We also show that the stabilizer stratification coincides with the rank stratification of a cosmooth generalized distribution ${\\cal D}_0$ and describe it explicitly using the Whitney stratification of a four-dimensional semi-algebraic set $\\mathfrak{P}$. The stabilizer groups along the strata are isomorphic with $\\mathrm{SU}(2)$, $\\mathrm{SU}(3)$, $\\mathrm{G}_2$ or $\\mathrm{SU}(4)$, where $\\mathrm{SU(2)}$ corresponds to the open stratum, which is generically non-empty. We also determine the rank stratification of a lar...
The landscape of G-structures in eight-manifold compactifications of M-theory
Elena Mirela Babalic; Calin Iuliu Lazaroiu
2015-05-09T23:59:59.000Z
We consider spaces of "virtual" constrained generalized Killing spinors, i.e. spaces of Majorana spinors which correspond to "off-shell" $s$-extended supersymmetry in compactifications of eleven-dimensional supergravity based on eight-manifolds $M$. Such spaces naturally induce two stratifications of $M$, called the chirality and stabilizer stratification. For the case $s=2$, we describe the former using the canonical Whitney stratification of a three-dimensional semi-algebraic set ${\\cal R}$. We also show that the stabilizer stratification coincides with the rank stratification of a cosmooth generalized distribution ${\\cal D}_0$ and describe it explicitly using the Whitney stratification of a four-dimensional semi-algebraic set $\\mathfrak{P}$. The stabilizer groups along the strata are isomorphic with $\\mathrm{SU}(2)$, $\\mathrm{SU}(3)$, $\\mathrm{G}_2$ or $\\mathrm{SU}(4)$, where $\\mathrm{SU(2)}$ corresponds to the open stratum, which is generically non-empty. We also determine the rank stratification of a larger generalized distribution ${\\cal D}$ which turns out to be integrable in the case of compactifications down to $\\mathrm{AdS}_3$.
Sampling Plan for Assaying Plates Containing Depleted or Normal Uranium
Ivan R. Thomas
2011-11-01T23:59:59.000Z
This paper describes the rationale behind the proposed method for selecting a 'representative' sample of uranium metal plates, portions of which will be destructively assayed at the Y-12 Security Complex. The total inventory of plates is segregated into two populations, one for Material Type 10 (depleted uranium (DU)) and one for Material Type 81 (normal [or natural] uranium (NU)). The plates within each population are further stratified by common dimensions. A spreadsheet gives the collective mass of uranium element (and isotope for DU) and the piece count of all plates within each stratum. These data are summarized in Table 1. All plates are 100% uranium metal, and all but approximately 60% of the NU plates have Kel-F{reg_sign} coating. The book inventory gives an overall U-235 isotopic percentage of 0.22% for the DU plates, ranging from 0.19% to 0.22%. The U-235 ratio of the NU plates is assumed to be 0.71%. As shown in Table 1, the vast majority of the plates are comprised of depleted uranium, so most of the plates will be sampled from the DU population.
Niger delta deepwater region petroleum potential assessment
Thomas, D. [Thomas and Associates, Hastings (United Kingdom)
1995-12-18T23:59:59.000Z
On behalf of the Nigerian Ministry of Petroleum and Natural Resources some 23,000 km of high quality 192 channel, 96 fold seismic, and associated gravity and magnetic data were acquired by TGSI-Mabon Geophysical Co. and made available to the industry in 1991. These data were collected over all deepwater blocks in conjunction with the planned 1993 license round. Later, during 1993 and 1994 TGSI with Mabon Ltd. and Stratum Petroleum Services extended the program onto the shelf (7,000 km) and into the ultra deepwater areas (6,400 km), making possible modern studies of the entire offshore delta complex. In assessing the petroleum potential of an undrilled region, it is useful to refer to analogous basins or provinces already with histories of hydrocarbon exploration and discovery. With this in mind, and using limited data from the already drilled areas of Nigeria offshore, the adjacent West Africa salt basin and Brazil in particular, an attempt is made to discuss the hydrocarbon habitat of the undrilled Niger delta deepwater offshore sedimentary sequences.
Amand Faessler; G. L. Fogli; E. Lisi; V. Rodin; A. M. Rotunno; F. Simkovic
2009-03-06T23:59:59.000Z
The variances and covariances associated to the nuclear matrix elements (NME) of neutrinoless double beta decay are estimated within the quasiparticle random phase approximation (QRPA). It is shown that correlated NME uncertainties play an important role in the comparison of neutrinoless double beta decay rates for different nuclei, and that they are degenerate with the uncertainty in the reconstructed Majorana neutrino mass.
Frangi, Alejandro
- sition system architecture (serial/semi-parallel) is also discussed. Three variants of backprojection. This comparison shows that the approach provides a good estimate of the reconstruction error variance Research Project PB930952. The work of A. F. Frangi was supported by a CIRIT Grant. Asterisk indicates
Eric Heinicke Energy Elements LLC
the variance in performance between NW CTA, the first Ground Source Facility, and other Ground Source schools is to optimize the entering fluid temperature (EFT) to the heat pumps. 20 #12;Pumps Fluid Cooler. (3kW x 332,346^ ft. x $$0.035) Ø The estimated total savings target is potentially worth $143
Effect of wettability on scale-up of multiphase flow from core-scale to reservoir fine-grid-scale
Chang, Y.C.; Mani, V.; Mohanty, K.K. [Univ. of Houston, TX (United States)
1997-08-01T23:59:59.000Z
Typical field simulation grid-blocks are internally heterogeneous. The objective of this work is to study how the wettability of the rock affects its scale-up of multiphase flow properties from core-scale to fine-grid reservoir simulation scale ({approximately} 10{prime} x 10{prime} x 5{prime}). Reservoir models need another level of upscaling to coarse-grid simulation scale, which is not addressed here. Heterogeneity is modeled here as a correlated random field parameterized in terms of its variance and two-point variogram. Variogram models of both finite (spherical) and infinite (fractal) correlation length are included as special cases. Local core-scale porosity, permeability, capillary pressure function, relative permeability functions, and initial water saturation are assumed to be correlated. Water injection is simulated and effective flow properties and flow equations are calculated. For strongly water-wet media, capillarity has a stabilizing/homogenizing effect on multiphase flow. For small variance in permeability, and for small correlation length, effective relative permeability can be described by capillary equilibrium models. At higher variance and moderate correlation length, the average flow can be described by a dynamic relative permeability. As the oil wettability increases, the capillary stabilizing effect decreases and the deviation from this average flow increases. For fractal fields with large variance in permeability, effective relative permeability is not adequate in describing the flow.
This article was downloaded by: [Cornell University] On: 18 August 2012, At: 12:05
of the statistics of two large-eddy simulation (LES) solutions de- scribing a piloted methaneair (Sandia D) flame. Chemical compo- sitions, density and temperature fields are modelled with a steady flamelet approach is solved, and the variance is computed from its definition. The comparison of the LES solutions is based
Suporting Information Wchter et al. 10.1073/pnas.1011581108
Junge, Wolfgang
different viscous drag coeeficients, the one of a centrally attached sphere (radius 0.5 m) moving in bulk ("Thermal Forces and Diffusion") in ref. 1. Rotary motion of a microscaled bead attached to a torsion spring, the viscous drag coefficient of the bead, and t the time. The magnitude of R at time zero equals the variance
QUEEN'S DUPONT BACK PAIN STUDY Calibration of a Magnetic Tracking Device Using Locally Linear Fits
Murdoch, Duncan
point i, p is a power variable used to compensate for distance related measurement variance with a grid spacing of 40cm. 1440 data points were collected at 60 positions. For each point, the true position vector x=(x,y,z) and the true orientation At were known, and the observed position vector xo
Casto, Joseph M.
Abstract Sex allocation theory predicts that parents should bias investment toward the offspring sex that con- fers higher relative fitness on the parents. When variance in reproductive success reproductive allocation toward sons. Modification of the primary sex ratio is one mechanism by which avian
Marston, Richard A.
Oklahoma, USA Daniel C. Dauwalter & Dale K. Splinter & William L. Fisher & Richard A. Marston Received: 8 and stream habitat, influenced fish species composition (presenceabsence) in eastern Oklahoma, USA relative ecoregions in eastern Oklahoma. Partial canonical correspondence analyses (pCCAs) and variance partitioning
Ecological Modelling 229 (2012) 3749 Contents lists available at ScienceDirect
An, Li
2012-01-01T23:59:59.000Z
challenges we are facing on the way to environmental sustainability. Emerging as a cutting edge in modeling appreciation for potential human environmental impacts. Other significant factors predicting sensitivity, Generalized linear model; VIF, Variance inflation factor; GTGP, Grain-to-Green Program; NFCP, Natural Forest
Estimation of turbulence level and scale for wind turbine applications
Powell, D.C.
1988-11-01T23:59:59.000Z
A simplified method is presented for estimating onsite turbulence variance within the wind turbine layer for horizontal wind speed. The method is based principally on estimating the probability distribution of wind speed and assigning a variance to each mean wind speed based on surface roughness estimates. The model is not proposed as an alternative to onsite measurement and analysis, but rather as an adjunct to such a program. A revision of the Kaimal neutral u-component spectrum is suggested to apply to the mix of the stabilities occurring during operational winds. Values of integral length scale calculated from data analysis are shown to contradict the length scale model implicit in turbulence power spectra. Also, these calculated values are shown to be extremely sensitive to the length of the time series and the detrending method used. The analysis and modeling are extended to the rotational frame of reference for a horizontal-axis wind turbine by modeling the ratios of harmonic spike variances (1P, 2P, etc.) in the rotational spectrum to the Eulerian turbulence variance. 15 refs., 11 figs., 3 tabs.
Mixing and diapycnal advection in the ocean Louis C. St. Laurent
Cambridge, University of
. Introduction The sun heats the Earth's atmosphere and ocean, driving the winds, evaporation, and rain. These act over global scales to input mechanical energy and variance to the scalar fields of the ocean insight into the mechanisms driving abyssal circulations. Observations of turbulence across the Brazil
Rotella, Jay J.
F&WL 501 - Lab #2 Stochastic Exponential Growth 1. In Chapter 2, you learned of the formula for calculating the geometric mean based on an arithmetic mean and its variance. a. What is that formula? b. What is the name of the technique being used in this formula? c. Use that formula to generate values
Minnesota, University of
Intelligent Storage Among the issues that exist with Exascale storage, we review the issue of utilization, performance and cost. In a traditional hierarchy of storage systems, the response time variances holds true for storage systems. Problem Storage interface today gives an illusion of sequential LBNs
Energy, water and large-scale patterns of reptile and amphibian species richness in Europe
Rodrķguez, Miguel Įngel
Energy, water and large-scale patterns of reptile and amphibian species richness in Europe Miguel Į for geographical patterns of species richness: (1) productivity; (2) ambient energy; (3) waterenergy balance, (4 (PET), a measure of the amount of atmospheric energy, explained 71% of the variance, with variability
Da Gama Rose, Renaud Wilfred
1964-01-01T23:59:59.000Z
determined (. z analysis of variance as outlined ty Dtee' and Torrie (29), Tr e analys?. of variar;c fo? i m- of wheat grown at College Statior, . ' given in Appendix T. =hie ' ?(eplications were highly sign?fi?an? at Gi 'cv. 1? indic ~ ti:?= thai soil...
KALMAN FILTERING WITH STATISTICAL STATE CONSTRAINTS
Simon, Dan
KALMAN FILTERING WITH STATISTICAL STATE CONSTRAINTS T. L. Chia ControlSoft Inc. 5387 Avion Park with white process and measurement noise, the Kalman Ælter is known to be the minimum variance linear state estimator. In the case that the random quantities are Gaussian, then the Kalman Ælter is the minimim
Randomized Quantile Residuals Peter K. Dunn and Gordon K. Smyth
Smyth, Gordon K.
. Keywords: deviance residual; exponential regression; generalized linear model; lo- gistic regression, play a central role in the checking of statistical models. In normal linear regression the residuals are normally distributed and can be standardized to have equal variances. In non-normal regression situations
Analysis on the Inverse problem Statistical analysis of the inverse problem
regression This is a non-linear regression model. Assumption : we have equal variance measurement errors and trigonometric forms. #12;Analysis on the Inverse problem Introduction Non-linear regression This is a non-linear on the Inverse problem Introduction Linear and non-linear regression Examples : Linear model y = 0 + 1x + 2x2 y
STATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL
Rudnyi, Evgenii B.
to apply. The algorithm to maximize a likelihood function in the case of a non-linear physico - the same variances of errors 3.1. One-way classification 3.2. Linear regression 4. Real case (vaporizationSTATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL E.B. Rudnyi Department of Chemistry
Conservation Biology, Pages 5972 Volume 17, No. 1, February 2003
Gomulkiewicz, Richard
families within popula- tions, limiting the potential for selection to act. The majority of the variance de crecimiento y jardķn comśn para evaluar un rango de car- acterķsticas morfológicas y fisiológicas crecimiento a temperaturas calientes y frķas, la tolerancia al congelamiento en plantas cultivadas
Introduction to Matlab III 1 As mentioned before you need to build your own X
Irwin, Mark E.
regression. For example, to perform the regression in S-Plus/R with lm(BTUIn ~ BTUOut * damper, data=furnace) > summary(furnace.lm2) Call: lm(formula = BTUIn ~ BTUOut * Damper, data = furnace) Residuals: Min 1Q Median-value: anova(furnace.lm2) Analysis of Variance Table Response: BTUIn Df Sum Sq Mean Sq F value Pr
E cient Deformable Filter Banks Roberto Manduchi, Pietro Peronay and Doug Shy
Perona, Pietro
decomposition is then analyzed to detect features (usually, via a non-linear stage) and to measure controls the approximation error and the shift-variance. 1 Introduction Elementary visual structures., Cupertino, CA. 1 #12;lters may be used succesfully for prediction, interpolation and smoothing 2] as well
Barloon, Jessica Lynn
2001-01-01T23:59:59.000Z
(CRP, SAA) were analyzed on all subjects at the end of the initial run-in period and at the end of the diet period by repeated measures analysis of variance (SAS, ProcGLM) with significance set at p<0.05. There were no significant differences between...
Robust Methods for Engineering Design Optimization
Dennis, Brian
Random Energy Lost Generation Hybrid Example · Optimization of turbine cascade (2-D) with hybrid GA for optimized blade Hybrid Algorithms · Use a combination of algorithms plus a switching strategy for searching #12;7 Flowchart of automatic switching among modules in a hybrid optimizer Design Variance 0 DFP GA NM
John, Sajeev
in a pseudophotonic band gap PBG to an applied laser field. It is shown that in the case when the variance of resonant reactive ion etching techniques. The relative dif- ficulty in drilling to a depth of more than a few unit
BENDIX SYSTEMS DIVISION ANN A R8 oR, M1CH NO. REV.NO. Solar Wind Programming for
Rathbun, Julie A.
~====~----~--------------~~~~~==~~~ ,f:flow chart is intended only to provide interested parties with an outline of program flow. As program debugging progresses, detailed flow charts just above the coding level format. The mean, variance, and sample size by energy level, arranged in columnar format. The mean
Ocean Math OC 569B Fall 2013 P.B. Rhines Tues. 26Nov 2013 with minor revisions 29Nov
Ocean Math OC 569B Fall 2013 P.B. Rhines Tues. 26Nov 2013 with minor revisions 29Nov A flow chart(x), | f (x)|2 - dx = | F(k)|2 - dk E(k) - dk (which might be the energy for some choices of f) has contributions from the different Fourier components, squared: this is the variance- (or energy) spectrum, E
DAIRY FARM PROFITABILITY ENHANCED BY APPLICATION OF QUANTITATIVE GENETICS
Obbard, Darren
, udder composite, locomotion · variance traits e.g. energy balance, body condition · production traits through better breeding selection reduces the number of replacement females which need to be reared (a 2 are used by breeding companies and by farmers to improve the genetic merit of the national herd
MEASUREMENT AND CORRECTION OF ULTRASONIC ANEMOMETER ERRORS
Heinemann, Detlev
commonly show systematic errors depending on wind speed due to inaccurate ultrasonic transducer mounting three- dimensional wind speed time series. Results for the variance and power spectra are shown. 1 wind speeds with ultrasonic anemometers: The measu- red flow is distorted by the probe head
Ojo, Temitope O.
2006-08-16T23:59:59.000Z
-correlation function, R? of the velocity time-series. Typically, the diffusion coefficients are measured through tracer experiments as determined by the time rate of change of the variance of a growing patch (K = Ā½ d?2 /dt), which introduces the concept...
Sufficient Stochastic Maximum Principle in a Regime-Switching Diffusion Model
Donnelly, Catherine, E-mail: C.Donnelly@hw.ac.uk [Heriot-Watt University, Department of Actuarial Mathematics and Statistics (United Kingdom)
2011-10-15T23:59:59.000Z
We prove a sufficient stochastic maximum principle for the optimal control of a regime-switching diffusion model. We show the connection to dynamic programming and we apply the result to a quadratic loss minimization problem, which can be used to solve a mean-variance portfolio selection problem.
ensl-00167302,version1-18Aug2007 Measurement of particle and bubble accelerations in turbulence
Paris-Sud XI, Université de
ensl-00167302,version1-18Aug2007 Measurement of particle and bubble accelerations in turbulence R motion are resolved and the particle acceleration is measured. For neutrally buoyant par- ticles, our 1.4) and to air bubbles. We observe that the acceleration variance strongly depends on the particle
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 0099-2240/00/$04.00 0
Peever, Tobin
transmission of hypoviruses into conidia, and (iv) conidial ger- mination. Two-way analysis of variance (ANOVA and canker area but not for conidial germination or transmission. One-way ANOVA among hypoviruses (within. 11 Copyright © 2000, American Society for Microbiology. All Rights Reserved. Variation in Tolerance
PLL On-Chip Jitter Measurement: Analysis and Design Socrates D. Vamvakos1
Nikolic, Borivoje
PLL On-Chip Jitter Measurement: Analysis and Design Socrates D. Vamvakos1 , Vladimir Stojanovi 2, CA,2 MIT, Cambridge, MA,3 Rambus Inc., Los Altos, CA Abstract Analysis of on-chip jitter measurements based on the dead-zone method reveals potentially large errors in the jitter variance estimate, when
1 Random Jitter Extraction Technique in a Multi-Gigahertz Signal Chee-Kian Ong, Dongwoo Hong, Kwang technique for estimating the standard deviation of a Gaussian random jitter component in a multi that this extraction method can accurately estimate the random jitter variance in a multi-gigahertz signal even
Digitally-Assisted Mixed-Signal Wideband Compressive Sensing
Yu, Zhuizhuan
2012-07-16T23:59:59.000Z
knowledge, this prototype is the first reported integrated chip for wideband mixed-signal compressive sensing. The proposed prototype achieves 7 bits ENOB and 3 GS/s equivalent sampling rate in simulation assuming a 0.5 ps state-of-art jitter variance, whose...
STATISTICS 212-502 Spring 2014
, accident or circumstances beyond your control, notify me as soon as possible so that a make-up exam can principles of regression analysis, experimental design, analysis of variance, categorical data analysis variability. Course Outline Topic Chapters No. of Lectures Model Building/ 12, 13 15 Regression Analysis First
2012 Research Project Abstracts by MLS students at the University of Alberta
MacMillan, Andrew
Student Project title AKIERMAN, Rebecca Transport of selenium arsenic glutathione conjugate [(GS)2AsSe glutathione conjugate [(GS)2AsSe] by nonsynonymous polymorphisms of multidrug resistance protein 2 (MRP2/ABCC2-(S-glutathionyl) arsinium ion ([(GS)2AsSe]). MRP2 is highly polymorphic, creating interindividual variance. Individuals
The Influence of Microtopography on Soil Nutrients in Created Mitigation Wetlands
in Virginia, and examining the effects of disking during wetland creation. Replicate multiscale tangentially-extractable NH4N and NO3N, and Mehlich-3 extractable P, Ca, Mg, K, Al, Fe, and Mn. Means and variances of soil and Fe, lower Mn than cre- ated wetlands, and comparatively high variability in nutri- ent concentrations
Local and global statistics of clear-air Doppler radar Andreas Muschinski
Muschinski, Andreas
Local and global statistics of clear-air Doppler radar signals Andreas Muschinski CIRES, University 6 October 2003; accepted 30 October 2003; published 27 January 2004. [1] A refined theoretical statistics like locally averaged velocities, local velocity variances, local dissipation rates, and local
A multivariate analysis of Pteryxia terebinthina (Apiaceae)1 Feng-Jie Sun2,3
Downie, Stephen R.
A multivariate analysis of Pteryxia terebinthina (Apiaceae)1 Feng-Jie Sun2,3 Department of Plant Biology, 505 South Goodwin Avenue, University of Illinois, Urbana, IL 61801). A multivariate analysis. Multivariate analysis of variance, principal component analysis, and discriminant analysis of 265 specimens
Wehlau, David
Multivariate Analysis and Applications Today, due to advances in computers, massive amounts of data to the large number of variables and the interrelated nature among these variables. Multivariate statistical of basic Multivariate Analysis such as multivariate mean and variance analysis, T-Hotelling, Multinormal
PROOF COPY 016502JAS Automatic classification and speaker identification of African
Johnson, Michael T.
frequency-shifted Mel-frequency cepstral coefficients MFCCs and log energy, spectrally motivated features such as multivariate analysis of variance MANOVA , discriminant function analysis, or principal components analysis PCA such as that presented here, it is pos- sible to go beyond traditional hypothesis testing and build systems
BS in STATISTICS: Biostatistics Emphasis (695233) MAP Sheet Department of Statistics
Dahl, David B.
Analysis of Variance Stat 240 Discrete Probability Stat 290 Communication of Statistical Results Stat 330 of Survey Sampling Stat 274 Theory of Interest Stat 424 Statistical Computing Stat 431 Experimental Design Theory of Analysis 2 Stat 151 Introduction to Bayesian Statistics Stat 234 Methods of Survey Sampling
Effect of Finite-rate Chemical Reactions on Turbulence in Hypersonic Turbulent Boundary Layers
Martķn, Pino
Effect of Finite-rate Chemical Reactions on Turbulence in Hypersonic Turbulent Boundary Layers Lian reaction. The influence of chemical reactions on temperature fluctuation variance, Reynolds stresses that the recombination reaction enhances turbulence, while the dissociation reaction damps turbulence. Chemical reactions
ccsd-00002179,version1-7Jul2004 A Value-At-Risk Approach for Robust
Paris-Sud XI, Université de
of the variance of simulated cost - up to 38% of reduction for a comparable average cost if the worst caseccsd-00002179,version1-7Jul2004 A Value-At-Risk Approach for Robust Management of Electricity Power and Space Decomposition, Ro- bust Counterpart, Electricity Power Management. Abstract In this paper, we
Variation in serum alkaline phosphatase activity in cattle
Fletcher, Jesse Lane
1956-01-01T23:59:59.000Z
of variance of age-adjusted phosphatase in the dairy calves.............................................41 21. Classification of the Holstein cows on the basis of condi? tion of gestation and lactation........................... 42 22. Classification... of the Jersey cows on the basis of condition of gestation and lactation.................... ...........42 23. Estimates of heritability of phosphatase activity in Brahman cattle......................................... . 47 24. Estimates of heritability...
EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science
Eindhoven, Technische Universiteit
the parameters that contribute most to the variance are detected. Both intrusive and non-intrusive methods based types of numerical techniques to compute the sensitivity coefficients S1, . . . , Sq : i) non-intrusive function H of the deterministic system (1) for each node of the quadrature scheme. ii) intrusive methods
Derivation of Extended Kalman Filtering and Smoothing Equations Byron M. Yu
Yu, Byron
dynamical systems can be performed via local linearization of the nonlinearities. This Extended Kalman Introduction We consider nonlinear dynamical systems of the following form: xt+1 = ft(xt) + wt (1) yt = gt-distributed with mean 1 and variance V1. As in [3], we assume that the parameters of the nonlinear dynamical system
IceCube Project Monthly Report April 2009 Accomplishments
Saffman, Mark
Performance The project is 90.1% complete versus the plan of 89.9% complete, as measured using earned value). The variance is related to RPSC's schedule performance during the FY08/09 Pole Season. The earned value cost.4%. The contingency continues to be carefully managed to ensure the successful completion of the MREFC project. #12
IceCube Project Monthly Report March 2009 Accomplishments
Saffman, Mark
of 89.7% complete, as measured using earned value techniques. Remaining contingency is $7.3M Season. The earned value cost variance at the end of February 2009 is a favorable $1,559K (was $1,435K and the contingency as a percentage of remaining work is 26.8%. The contingency continues to be carefully managed
IceCube Project Monthly Report February 2009 Accomplishments
Saffman, Mark
The project is 89.3% complete versus the plan of 89.2% complete, as measured using earned value techniques related to RPSC's schedule performance. The earned value cost variance at the end of January 2009.5%. The contingency continues to be carefully managed to ensure the successful completion of the MREFC project. #12
On a Theory of Precise Neural Control in a Noisy System
Waxman, David
On a Theory of Precise Neural Control in a Noisy System Wenlian Lu, Shun-ichi Amari, Jianfeng Feng, and David Waxman Abstract In this paper, we introduce a novel computational paradigm based on modern control and optimization theory and biological observations. We investigate the `minimum-variance principle
On the advantages of using green light to study fluorescence yield changes in leaves
, at variance with the commonly used set-ups, uses of a weakly absorbed light source (light-emitting diodes. Although the exciting light is weakly absorbed, the possibility to tune the intensity of the light emitting diodes allows one to reach photochemical rates ranging from 104 s- 1 to 0.25 s- 1 rendering
Lockwood, Jennifer A
2009-07-03T23:59:59.000Z
for anorexia nervosa and bulimia nervosa. Factor analysis revealed a single dimension termed Eating Attitudes and Behaviours (EAB) which was found to account for 51.88% of the variance in the data. 113 non-dancers, 57 general dancers and 39 ballet dancers were...
Spatial and temporal distribution patterns of nectar-inhabiting yeasts: how different floral
Herrera, Carlos M.
investigations have further shown that yeast metabolism alters nectar properties by decreasing its total sugar across six populations located along an altitudinal gradient. Variance partitioning techni- ques were it has become gradually more apparent that yeast metabolism alters the physicochemical properties
Intra--modality Image Registration using Gradients Mutawarra Hussain and Ela Claridge
Claridge, Ela
Intra--modality Image Registration using Gradients Mutawarra Hussain and Ela Claridge School--subject volumetric images has been achieved by using the variance of gradient ratios (VGR) technique. This technique intensity provides functional information on the metabolism of the region to be studied. The temporal
RESEARCH ARTICLE 10.1002/2014WR015639
Bledsoe, Brian
, and fraction of sediment transported by discharges greater than Qeff, f1, to statistical moments of the flow of sediment transport. Median values of Qeff and f1 generated from repeated, syn- thetic, finite flow series-form relation for f1 is a monotonically increasing function of flow variance. However, using finite flow series
arXiv:astro-ph/0402442v227Feb2004 Weak Lensing of the CMB: Sampling Errors on B-modes
Hu, Wayne
such as the neutrino mass and dark energy equation of state. The net sample variance on the small scale B modes out the dark side of the universe, namely the dark energy and neutrino dependent growth of structure, as well also provides the key to mapping the dark matter [6, 7] and hence the separation of the lensing
Lee, Xuhui
findings are (1) The Michaelis-Menton model explains 5065% of the observed variance of the daytime net sign till about 40 days later; our best estimates of the annual net carbon uptake by the ecosystem (net threshold, mass flow theory, and dark respiration from the forest light response) may increase
Lizhu Chen; Zhiming Li; Yuanfang Wu
2014-08-28T23:59:59.000Z
By the generator of the UrQMD model, event statistics for the products of kurtosis ($\\kappa$) and variance ($\\sigma^2$) of net-proton and net-charge multiplicity distributions are carefully studied. It is shown that the statistics at RHIC/BES below $\\sqrt {s_{NN}} statistics dependence of the data and reduce the initial size fluctuation as well.
Noone, David
telescopically from the time of Galileo. Geomagnetic activity, driven by the solar wind, has been measured since, geomagnetic activity, auroral appearances and in cosmogenic isotopes. Sunspots have been observed) in the Southern Hemisphere. The NAM currently accounts for an average of 22% of the wintertime variance of the sea
Kuchta, Shawn R.
of selection studies have used variance-standardized selection gradients (Kingsolver et al. 2001; Go“mez et al; Go“mez et al. 2006, 2008; Gosden and Svensson 2008). In this article, we analyzed PC axes separately 2000; Go“mez et al. 2006). PLS uses singular value decomposition to an- alyze the covariance structure
Risk: measures and tools 1. An overview of risk management evolution
Vilela Mendes, Rui
1 Risk: measures and tools #12;2 Contents 1. An overview of risk management evolution 2. The old risk management tools - Mean-Variance portfolio theory - CAPM and APT 3. Hedging and financial products #12;3 1 Overview #12;4 1. Overview Until the 1970's corporate risk management was mostly buying
Department of Mathematics MAL 522 (Statistical Inference)
Dharmaraja, S.
location parameter family the sample variance is ancillary. 9. Using Basu's theorem establish that sample parameter . Show that (Y1, Y2, . . . , Yn-1) where Yi = X(n) - X(i), i = 1, 2, . . . , n - 1 is ancillary or not the ancillary statistics (Y1, Y2, . . . , Yn-1) is independent of the minimal sufficient statistics of . 12
Vertical Integration and Risk Management in Competitive Markets of Non-Storable Goods
Touzi, Nizar
the interactions between spot, forward and retail markets, and the impact of vertical integration their retail market share and forward positions under uncertainty before time t = 1 where production and supply, Spot, Forward, Retail, Perfect Competition, Equilib- rium, Mean Variance Utility, Market Share, Hedging
RESEARCH REPORT 987-9 ASPHALT OVERLAY DESIGN METHODS FOR RIGID
Texas at Austin, University of
by using a fractional factorial design. An analysis of variance (ANOVA) was performed to identifyRESEARCH REPORT 987-9 ASPHALT OVERLAY DESIGN METHODS FOR RIGID PAVEMENTS CONSIDERING RUTTING's Catalog No. 5. Report Date October 1998 4. Title and Subtitle ASPHALT OVERLAY DESIGN METHODS FOR RIGID
Gelman, Andrew
T h e S tatistical Crisis in Science Data-dependent analysis-- a "garden offorking paths by statistician Ronald Fisher in the 1920s in the context of his research on crop variance in Hertford shire of statistics and political science at Columbia University and the author o/Red State, Blue State, Rich State
Analysis of the Compositional Variation in the Epicuticular Wax Layer of Wheat (Triticum aestivum)
Beecher, Francis Ward
2013-05-08T23:59:59.000Z
............................................................................................................................... 38 2.4.1. Investigation of Lr46/Yr29 ......................................................................................... 38 2.4.2. Investigation of Lr34/Yr18... Table 8 Masses identified by random forest as predictive of classification of Thatcher and ThatcherLr34+ by both analysis of variance (ANOVA) and random forest (RF) ................................................................................. 53...
Andrew Weisberg DOE-Annual-030520-1 Hydrogen Storage
and facilities occupancy · Operating Plan for FY02 presumed eviction from 50% of lab space · Actual Schedule: 4 · Risk of `suppressed' failure modes with higher variance is neglected in current safety standards. Gaussian) correct in the limit of the minimum of a large series of positive random values Overlap of 1/m
Price Dispersion in the Housing Market: The Role of Bargaining and Search Costs
Boyer, Edmond
Price Dispersion in the Housing Market: The Role of Bargaining and Search Costs Gaetano Lisi bargaining powers and search costs the selling price will be different. Recently, from a theoretical point a basic fact of housing markets: price dispersion. The variance in house prices is basically due to both
Tesfatsion, Leigh
this approach with high frequency data of the Dow Jones EURO STOXX 50 Index Futures (FESX) and the DAX Futures), the trading agent sends a buy (sell) limit order at prices slightly lower (higher) than the bid price series variance when the analysis is done using high frequency data instead of using daily data. Hence
Machine-Learning for Big Data: Sampling and Distributed On-Line Algorithms
Combettes, Patrick Louis
Machine-Learning for Big Data: Sampling and Distributed On-Line Algorithms Stéphan Clémenēon LTCI variance control: rate faster than n 1/2 3 Convex risk minimization 4 Oracle inequalities #12;Big Data? Big phones, internet, embedded systems, social networks, . . .) · to store and manage Big (and Complex) Data
Garrett, Karen A.
2012-01-01T23:59:59.000Z
Global warming a b s t r a c t If climate change scenarios include higher variance in weather variables, Manhattan, KS 66506, USA b Department of Zoology, University of Oxford, UK c Crop Management and Production Systems Division, International Potato Center, PO Box 1558, Lima 12, Peru d Department of Electrical
Plotkin, Steven S.
2002-01-01T23:59:59.000Z
: 10.1017/S0033583502003785 Printed in the United Kingdom 205 Understanding protein folding with energy and kinetics of protein folding 234 5.1 A protein Hamiltonian with cooperative interactions 234 5.2 Variance of native contact energies 235 5.3 Thermodynamics of protein folding 236 5.4 Free-energy surfaces
OVERVIEW OF EXTREME VALUE ANALYSIS UNDER CLIMATE CHANGE
Katz, Richard
to handle this situation (e. g., "extRemes" package in open source statistical programming language R -- Statistical theory of extreme values Well established long ago -- Applications to climatology and hydrology (Fréchet type) "Heavy" upper tail with infinite rth-order moment if r 1/ (e. g., infinite variance if 1
Evaluation of Tweedie exponential dispersion model densities by Fourier inversion
Smyth, Gordon K.
and Computing University of Southern Queensland Toowoomba Queensland 4350 Australia Gordon K. Smyth Bioinformatics Division Walter and Eliza Hall Institute of Medical Research Melbourne, Vic 3050, Australia August with power variance functions V (µ) = µp for p (0, 1). These distri- butions do not generally have density
Latin-square three-dimensional gage master
Jones, L.
1981-05-12T23:59:59.000Z
A gage master for coordinate measuring machines has an nxn array of objects distributed in the Z coordinate utilizing the concept of a Latin square experimental design. Using analysis of variance techniques, the invention may be used to identify sources of error in machine geometry and quantify machine accuracy.
Strain by dietary lysine interaction effects in egg production stocks of chickens
Bonds, Ira Stanley
1974-01-01T23:59:59.000Z
birds were adjusted to the canaan contxol at the end of the produotion oycle 1n an attenpt to a~iso the data, A factorial analysis of variance (Snedecor and Cochran, l967) was used to analyne the adult pexfornance data. Souroes of variaticn far nein...
ULTRAFAST RADIATION HEAT TRANSFER IN LASER TISSUE WELDING AND SOLDERING
Guo, Zhixiong "James"
ULTRAFAST RADIATION HEAT TRANSFER IN LASER TISSUE WELDING AND SOLDERING Kyunghan Kim and Zhixiong. The transient radiation heat transfer in the picosecond time scale is numerically investigated for the first surface. Comparisons of radiation heat transfer are made between the spatially square- variance
Donor-vacancy pairs in irradiated n-Ge: A searching look at the problem
Emtsev, Vadim; Oganesyan, Gagik [IoffePhysicotechnical Institute, Russian Academy of Sciences, Politekhnicheskaya ulitsa 26, 194021 St. Petersburg (Russian Federation)
2014-02-21T23:59:59.000Z
The present situation concerning the identification of vacancy-donor pairs in irradiated n-Ge is discussed. The challenging points are the energy states of these defects deduced from DLTS spectra. Hall effect data seem to be at variance with some important conclusions drawn from DLTS measurements. Critical points of the radiation-produced defect modeling in n-Ge are highlighted.
SEPTEMBER 2003 2071V A N L E E U W E N 2003 American Meteorological Society
van Leeuwen, Peter Jan
SEPTEMBER 2003 2071V A N L E E U W E N 2003 American Meteorological Society A Variance and with a multilayer quasigeostrophic model of the ocean area around South Africa. It is recalled that Kalman after analysis, without extra computations. It is based on ensemble or Monte Carlo integrations
MATHEMATICAL TRIPOS Part III Monday, 31 May, 2010 1:30 pm to 4:30 pm
Weber, Richard
in the minimal variance f for a small change b in available resources is b where is the Lagrange multiplier + x2 6 4 x1 + 4 x2 15 over x1 0 , x2 0 . (c) Later the Company forms an agreement to sell slack
February 18, 2009 WEAK CONVERGENCE OF THE FUNCTION-INDEXED INTEGRATED
Samorodnitsky, Gennady
domains. In particular, heavy-tailed time series whose marginal distributions exhibit power law behavior to the underlying system are present. When the marginal distributions have infinite variance, the notions by the Danish Research Council (FNU) Grant 272-06-0442. Gen- nady Samorodnitsky's research is partly supported
Interior Point Methods, Nonlinear Models & Parallelisation
Grothey, Andreas
;Overview Asset and Liability Management Models Mean-Variance Formulation/Stochastic Programming Structure Grothey IPM, Nonlinear Models & Parallelisation #12;Portfolio Optimization: Asset and Liability Management and Liability Management A set of assets J = {1, ..., J} is given (e.g. bonds, stock, real estate). At every
Mine Impact Burial Prediction Experimental (MIBEX)
Chu, Peter C.
School Steven D. Haeger Naval Oceanographic Office #12;Modeling Mine Impact Burial Depth Modeling.5 0.6 Hs ig For MIS O S ite Hsig(m) Yea rday of 2000 #12;Surface Elevation Variance #12;R/V John
Lyngby, Denmark aa@imm.dtu.dk Harald Flesche Norsk Hydro Research Centre N-5020 Bergen, Norway Harald.Flesche@nho.hydro to a small area in order to allow for the estimation of a variance-covariance matrix. This expansion is presently used as a routine petrographi- cal analysis method at Norsk Hydro Research Cen- tre. 1
Norsk Hydro Research Centre N-5020 Bergen, Norway Harald.Flesche@hydro.com This paper addresses. Initially, the seed is expanded to a small area in order to allow for the estimation of a variance. The classification method is presently used as a routine petrographical analysis method at Norsk Hydro Research
Department: Statistics Course No: STAT 243Q
Alpay, S. Pamir
Department: Statistics Course No: STAT 243Q Title: Design of Experiments Credits: 3 Contact : Dipak statistical software to analize data sets based on the statistical methods developed in this course. B. Two and problem assignments from the textbook. C. Analysis of variance statistical models are the major theme
Local-feature-map Integration Using Convolutional Neural Networks for Music Genre Classification
Takiguchi, Tetsuya
of being manual efforts. Feature extraction from an acoustical music signal is a significant step extracted from a windowed short signal, such as MFCC, STFT, LPC, Filterbank Coefficients and Autore such as histograms, means, variances, etc [4, 5, 6]. These approaches, how- ever, extract the features frame
adaptation) (cepstral mean and variance normalization, CMVN)[1](cepstral histogram normalization, CHN)[2. Hilger and H. Ney, "Quantile based histogram equalization for noise robust large vocabulary speech recognition," IEEE Transactions on Audio, Speech and Language Processing, 14(3), pp. 845854, 2006. [3] C. P
Global valuation and dynamic risk management Claudio Albanese, Guillaume Gimonet and Steve White
Albanese, Claudio
of financial standards represents an obstruction to this process. Standards embed numerous technical November 5, 2010 1 Market standards Some instruments such as interest rate swaps and variance swaps, admit industry has structured itself around standards. Valuation methodologies have historically followed cycles
DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF MASSACHUSETTS
Massachusetts at Amherst, University of
is the probability that A wins? 5. (25 points) Let Xt be the number of fish that a particular fishing boat catches on trip t. Suppose that the number of fish caught is independent from trip to trip, the mean number of fish caught on any particular trip is 49, and the variance is also 49. (a) Over the course
North-South non-Gaussian asymmetry in Planck CMB maps
Bernui, A. [Observatório Nacional, Rua General José Cristino 77, Sćo Cristóvćo, 20921-400 Rio de Janeiro RJ (Brazil); Oliveira, A.F. [Instituto de Fķsica e Quķmica, Universidade Federal de Itajubį, 37500-903 Itajubį MG (Brazil); Pereira, T.S., E-mail: abernui@gmail.com, E-mail: adhimar@unifei.edu.br, E-mail: tspereira@uel.br [Departamento de Fķsica, Universidade Estadual de Londrina, Rod. Celso Garcia Cid, Km 380, 86057-970, Londrina PR (Brazil)
2014-10-01T23:59:59.000Z
We report the results of a statistical analysis performed with the four foreground-cleaned Planck maps by means of a suitably defined local-variance estimator. Our analysis shows a clear dipolar structure in Planck's variance map pointing in the direction (l,b) ? (220°,-32°), thus consistent with the North-South asymmetry phenomenon. Surprisingly, and contrary to previous findings, removing the CMB quadrupole and octopole makes the asymmetry stronger. Our results show a maximal statistical significance, of 98.1% CL, in the scales ranging from ?=4 to ?=500. Additionally, through exhaustive analyses of the four foreground-cleaned and individual frequency Planck maps, we find unlikely that residual foregrounds could be causing this dipole variance asymmetry. Moreover, we find that the dipole gets lower amplitudes for larger masks, evidencing that most of the contribution to the variance dipole comes from a region near the galactic plane. Finally, our results are robust against different foreground cleaning procedures, different Planck masks, pixelization parameters, and the addition of inhomogeneous real noise.
HISTORY OF NONLINEAR PRINCIPAL COMPONENT JAN DE LEEUW
California at Los Angeles, University of
FORTRAN code) in the thesis of Cordier [1965]. 2.2. Multiple Correspondence Analysis. Different weighting schemes to combine quantitative variables to an index that optimizes some variance- based discrimination quantifying) was applied to qualitative vari- ables in a seminal paper by Guttman [1941], who was analyzing
Qiu, Weigang
Analysis & R Tutorial #12;DNA Microarrays An R Tutorial R: Graphics and Statistics beyond Excel R: an Open Source statistical package (http://www.r-project.org) RStudio: a Graphic User Interface to R (http(stock) # median > range(stock) # mim and max > sum(stock) # sum > var(stock) # variance > sd(stock) # standard
LaBean, Thomas H.
of the lateral peaks is the signature of the sub-poissonian statistics of the light emitted by our source is the variance of the distribution and nav is the average number of photons26 . At the highest pumping power-of-focus molecules or Raman scattering), reduced terrylene doping, pumping with z-axis polarized light, or use
DEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS
Hickman, Mark
prices, and prices of gasoline and heating oil traded on the New York Mercantile Exch: This paper examines the market efficiency of oil spot and futures prices by using both mean-variance (MV of crude oil prices, oil futures have become one of the most popular derivatives to hedge the risk of oil
Performance Analysis of Isolated Intersection Traffic Signals
Yin, Kai
2013-08-01T23:59:59.000Z
This dissertation analyzes two unsolved problems to fulfill the gap in the literature: (1). What is the vehicle delay and intersection capacity considering left-turn traffic at a pre-timed signal? (2). What are the mean and variance of delay...
MESOSCALE AVERAGING OF NUCLEATION AND GROWTH MODELS
Burger, Martin
MESOSCALE AVERAGING OF NUCLEATION AND GROWTH MODELS MARTIN BURGER , VINCENZO CAPASSO , AND LIVIO-Kolmogorov relations for the degree of crystallinity. By relating the computation of expected values to mesoscale averaging, we obtain a suitable description of the process at the mesoscale. We show how the variance
Li, Allen
2014-08-10T23:59:59.000Z
and Coherency Methods in Petrel and Landmark .......... 29 Correlating Attribute Data to Low-Impedance Zones ........................................ 31 CHAPTER III LOW RESOLUTION (15Hz) DATASET ATTRIBUTE ANALYSIS................ 32 Introduction.... ......................................................................................................................... 38 Figure 3.5 Ant Tracking Algorithm (Petrel) .............................................................................. 39 Figure 3.6 Ant-tracking comparison, production area, along reservoir top horizon, from variance volume generated...
Synchronization and portfolio performance of threatened salmon Jonathan W. Moore1
LETTER Synchronization and portfolio performance of threatened salmon Jonathan W. Moore1 , Michelle Marine Fisheries Service, Seattle, WA 98110, USA 2 School of Aquatic and Fishery Sciences, University salmon decreased risk-adjusted portfolio performance (the ratio of port- folio productivity to variance
Vegetative morphology and trait correlations in 54 species of Commelinaceae
Miller, Thomas E.
was examined with simultaneous attention to constraints, adaptive hypotheses and relatedness. Eleven50% of the variance in a single trait. The relationships between some traits are consistent with adaptive explanations as self-shading decreases, and that light availability governs leaf size and branching patterns
Dynamical mechanisms underlying contrast gain control in single neurons Yuguo Yu and Tai Sing Lee
Lee, Tai Sing
to be adaptive to changes in the statistics of stimuli, in terms of both the average light intensity level see 3, they are adaptive to the contrast or the variance of time- varying input stimuli, exhibiting a contrast gain control threshold is shown to be a key factor underlying the adaptation of frequency tuning and amplitude gain
Hyperion Quick Guide Log in and access forms and reports
Thompson, Michael
Hyperion Quick Guide Log in and access forms and reports Note: Citrix Receiver must be installed.ca/vpn/index.html Forms and drilldown reports Click on Excel icon and open Budget submission report Also available: FY14 variance report FY15 monthly reports Click on Internet Explorer icon and open 3. Connect to Smart View
Frankel, Kurt L.
and deformational style in the western United States and Italy. Our study is guided by initial results obtained from United States. We attribute the higher variance to the effects of overall larger drainage basin size settings. Here we report results from test cases on five mountain fronts with variable rates of rock uplift
Entropy Shows that Global Warming Should Cause Increased Variability in the Weather
John Michael Williams
2001-02-21T23:59:59.000Z
Elementary physical reasoning seems to leave it inevitable that global warming would increase the variability of the weather. The first two terms in an approximation to the global entropy are used to show that global warming has increased the free energy available to drive the weather, and that the variance of the weather should increase correspondingly.
Johnston, Mark
focus, virtually nothing is known about the mechanisms responsible for the generation of individual, germination fraction over two generations and three sequential seasons, and the genetic correlation structure power to detect additive genetic variance in within-season diversification, it was low
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UNSW
Percival, Don
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UNSW Don Percival Visiting://faculty.washington.edu/dbp Overview of Workshop Ā· two sessions, each 1 hour and 45 minutes long I: introduction to wavelets and wavelet transforms II: wavelet-based statistical analysis of time series - wavelet variance (also known
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UQ St Lucia Campus
Percival, Don
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UQ St Lucia Campus Don://faculty.washington.edu/dbp Overview of Workshop Ā· two sessions, each 1 hour and 45 minutes long I: introduction to wavelets and wavelet transforms II: wavelet-based statistical analysis of time series - wavelet variance (also known
1994 World Cultures 8(1) Analytic Technologies
White, Douglas R.
additive genetic variance in viability is maintained over several generations, the male handicapping trait logistic regression (Finney 1971), by pathogen stress (Low 1990). #12;Culturally augmented ornaments show value independent of health (Low 1989b). Major pathogens may well have been an important selective force
University of Cambridge Engineering Part IIB
Gales, Mark
1 Introduction Various forms of classifiers, such as Gaussian distributions and logistic regression as an estimate of P · Variance of this estimate about the "true value" P E k n - P 2 = 1 n2 E (k - nP)2 = P(1 - P, a generative model has been estimated, so classifica- tion can be performed using Bayes' decision rule where P
Effect of gamma radiation on selected functional and physical properties of liquid egg white
Ball, Hershell Ray
1966-01-01T23:59:59.000Z
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ o 14 4 The relative protein composition of egg white (Warner, 1954 ) . . . . . . . . . . . . . . . ~ . . . . . . . . . . . ~ 22 5 Analysis of variance for beating time . . ~. . . . . . . . 30 6 Multiple regression analysis of beating time... . . . . . . . . . . . . . . . . . . . . , . . 42 5 Illustration of textural difference &. . . . . . . . . . . 46 6 Typical electrophoretic patterns obtained . . . . . . 76 C HL PTER I GENERA L CONSIDERATIONS Introduction The use of ionizing radiation in the processing of foods has been...
Low-energy behavior of $E2$ strength functions
R. Schwengner
2014-11-04T23:59:59.000Z
Electric quadrupole strength functions have been deduced from averages of a large number of $E2$ transition strengths calculated within the shell model for the nuclides $^{94}$Mo and $^{95}$Mo. These strength functions are at variance with phenomenological approximations as provided by the Reference Input Parameter Library RIPL-3 for calculations of reaction rates on the basis of the statistical model.
CAMPUS PLANNING COMMITTEE Minutes of Meeting: May 23, 2013: 2:30 4:30 pm, ASB 120
Victoria, University of
parking spaces - Project budget is $500,000, funded by Parking Services as part of the TDM program project budget - Development variance permit approval required for 1 parking space required underCAMPUS PLANNING COMMITTEE Minutes of Meeting: May 23, 2013: 2:30 4:30 pm, ASB 120 Membership
Accounting for Parameter Uncertainty in Reduced-Order Static and Dynamic Systems
Woodbury, Drew Patton
2012-02-14T23:59:59.000Z
and Parameter Estimates : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 34 8 Example II.2 Monte Carlo Results: Position Estimates - Scenario 1 : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 37 9 Example II.2 Monte Carlo... : : : : : : : : 52 8 Continuous-discrete Minimum Variance Consider Kalman Filter : : : 58 9 Discrete Traditional Kalman Filter : : : : : : : : : : : : : : : : : : : 63 10 Physical Parameters of the Dwarf Planet Ceres : : : : : : : : : : : : 63 11 State...
Neural Mechanisms of Interference Control Underlie the Relationship Between Fluid Intelligence Andrew R. A. Conway Princeton University Todd S. Braver Washington University in St. Louis Fluid studies show that much of the variance in gF and WM span is shared, suggesting common neural mechanisms
Gubicza, Jenõ
Characterization of Microstructure of Severely Deformed Titanium by X-ray Diffraction Profile deformation, X-ray peak profile analysis. Abstract. Nanocrystalline titanium was produced by equal channel of the measured X-ray diffraction peak profiles. The peak profile analysis provided the median and the variance
The relationship between X-ray variability amplitude and black hole mass in active galactic nuclei
O'Neill, P M; Papadakis, I E; Turner, T J; Neill, Paul M. O'; Nandra, Kirpal; Papadakis, Iossif E.
2005-01-01T23:59:59.000Z
We have investigated the relationship between the 2-10 keV X-ray variability amplitude and black hole mass for a sample of 46 radio-quiet active galactic nuclei observed by ASCA. Thirty-three of the objects in our sample exhibited variability over a time-scale of ~40 ks, and we found a significant anti-correlation between excess variance and mass. Unlike most previous studies, we have quantified the variability using nearly the same time-scale for all objects. Moreover, we provide a prescription for estimating the uncertainties in excess variance which accounts both for measurement uncertainties and for the stochastic nature of the variability. We also present an analytical method to predict the excess variance from a model power spectrum accounting for binning, sampling and windowing effects. Using this, we modelled the variance-mass relation assuming all objects have a universal twice-broken power spectrum, with the position of the breaks being dependent on mass. This accounts for the general form of the re...
Shalabh
Chapter 4 Experimental Design and Their Analysis Design of experiment means how to design in a valid, efficient and economical way. The designing of experiment and the analysis of obtained data of tools like analysis of variance. The designing of such mechanism to obtain such data is achieved
Design and Analysis of Experiments Course number: STAT 3850/5850. January, 2008.
Johnson, Dan L.
1 Design and Analysis of Experiments Course number: STAT 3850/5850. January, 2008. Instructor: Dan, apply and discuss methods of experimental design and analysis, for the purposes of identifying probable Designs Regression and Analysis of Variance; contrasts and multiple comparisons Generalized Type I error
Reading, University of
is to perform spectral analysis on air- craft data (for instance Gultepe and Starr (1995)) or from ground based distribution of the optical and microphysics properties. Turbulence is also directly linked to the life cycle to having the property that their sum is proportional to the TKE the two variances
Does Framingham stroke risk profile predict white-matter changes in late-life depression?
Paris-Sud XI, Université de
profile (FSRP), a well validated risk prediction algorithm, is associated with changes in white FSRP, and non-depressed controls (matched for mean vascular risk) would show minimal co-variance with white-matter changes. Methods: 36 participants with major depression (age 71.8±7.7 years, mean FSRP 10
INTRODUCTION Mortality of tournament-caught black basses
Strauss, Richard E.
of tournament-caught fish and provide formulae for calculating the sampling variances of these estimates. THE PROBLEM Consider the following hypothetical one-day fishing tournament. Three-hundred forty fish are captured and brought to weigh-in; 136 of these fish are judged to be alive and 204 are dead. Twenty live
AN INNOVATIVE RTP-BASED RESIDENTIAL POWER SCHEDULING SCHEME FOR SMART GRIDS
Snyder, Larry
as demand response for residential power usage. In this scheme, the Energy Management Controller (EMC for consumers, but also reduce peak load and the variance between demand and supply, while avoiding the "rebound making veloc- ity, consumers will rely on energy management controllers (EMCs) [3], which are devices
Comparison of Aermod and ISCST3 Models for Particulate Emissions from Ground Level Sources
Botlaguduru, Venkata Sai V.
2010-07-14T23:59:59.000Z
setup parameters .................................................................................. 32 Figure 6. Cattle feedlot with a TEOM sampler .............................................................. 35 Figure 7. Wind rose for feedlot E... when solar radiation > 800 W/m2 .................................................................... 54 Figure 20. Variance in AERMOD and ISCST3 concentrations as a function of wind speed...
Bergische Universitat Wuppertal Fachbereich Mathematik und Naturwissenschaften
of components. Due to this statistical con- straints more and more enter optimization formulations of electronic Modern communication and identification products impose de- manding constraints on reliability should not affect the variance significantly. Finally we consider a methodology for reliable RFIC
Institut fur Computergraphik und Algorithmen
for Metrology using Dual Energy CT Christoph Heinzl Vienna University of Technology, Institute of Computer Keywords: DECT image fusion, local surface extraction, Dual Energy CT, metrology, dimensional measurement, variance comparison. #12;#12;Surface Extraction from Multi-Material Components for Metrology using Dual
DEPARTMENT OF MATHEMATICS AND STATISTICS UMASS -AMHERST
Massachusetts at Amherst, University of
the moment generating function (MGF) of X. (b) (6pts) Compute the mean and variance of X using the MGFpts) Find the conditional pdf of Y2, given that Y1 = y1. 3. The hourly number of phone calls, X hour to hour according to the following exponential distribution: f() = exp(-), > 0. Answers
National Synchrotron Light Source II Project Progress Report
Ohta, Shigemi
. The cumulative schedule index is 0.97 and the cumulative cost index is 1.02, both well within the acceptable. The project is 48% complete with 30% of contingency and management reserve for the remaining cost to go range. The current-month schedule variance is negative due to conventional construction being slowed
CE 4990 -Construction Scheduling Integrating Cost and Schedule
Mukherjee, Amlan
CE 4990 - Construction Scheduling Integrating Cost and Schedule March 16, 2012 Definitions The goal) = BCWP/BCWS · Cost Variance (CV) = BCWP - ACWP · Cost Performance Index (CPI) = BCWP/ACWP · EAC = ACWP is to develop integrated metrics for measuring cost and schedule performance. This note provides guidelines
IceCube Project Monthly Report November 2006
Saffman, Mark
divided by the historical cost performance index, 4 Budgeted contingency is: Variance or a currently by the middle of December. Cost and Schedule Performance The project is 65.0% complete versus the plan of 65 completed to date including design, development, procured materials, and the construction
A study of deterministic vs. stochastic service times using simulation
Balasubramanian, Udayakumar
1993-01-01T23:59:59.000Z
] states that if the measure of effectiveness yields only one response characteristic then the means can be tested by the robust t-test or the non-parametric Mann-Whitney test and the variances can be tested using the F-test. Johnson and Jackman [10...
Lee, In Heok
2006-04-12T23:59:59.000Z
accounted for only 3% of the variance and the three beta weights for the gender, student classification, and GPA variables were not statistically significantly related to the SDLRS. However, scores for SDLRS (R2= .34, adjusted R2 = .30, ĀØR2 = .31, p =.00...
Cohen, Israel
IEEE SIGNAL PROCESSING LETTERS, VOL. 11, NO. 7, JULY 2004 613 Identification of Speech Source variance is achievable. Index Terms--Array signal processing, speech enhancement, system identification. I between sensors in response to a desired speech signal. In this letter, a system identification approach
Performance Analysis of Isolated Intersection Traffic Signals
Yin, Kai
2013-08-01T23:59:59.000Z
This dissertation analyzes two unsolved problems to fulfill the gap in the literature: (1). What is the vehicle delay and intersection capacity considering left-turn traffic at a pre-timed signal? (2). What are the mean and variance of delay...
Orientation statistics at fixation D Ganguli, J Freeman, U Rajashekar, and E P Simoncelli
Rajashekar, Umesh
Orientation statistics at fixation D Ganguli, J Freeman, U Rajashekar, and E P Simoncelli Presented statistics via the "orientation tensor" (Granlund & Knutsson, 1994), computed as the 2x2 covariance matrix be converted into three natural parameters: energy, orientedness, and orientation. Energy is the total variance
Mismatched CSI Outage Exponents of Block-Fading Channels
Mismatched CSI Outage Exponents of Block-Fading Channels A. Taufiq Asyhari Department variances at the transmitter and at the receiver to give the optimal outage exponents. We also demonstrate state information at the transmitter in terms of outage exponent. I. INTRODUCTION The block
Sidiropoulos, Nikolaos D.
Beamforming for Minimum Outage Vassilis Ntranos, Nicholas D. Sidiropoulos, and Leandros Tassiulas Abstract--The multicast beamforming problem is considered from the viewpoint of minimizing outage probability subject (locations) and variances (spreads). It is shown that minimizing outage probability subject to a transmit
Quality of Life in Epilepsy: The Role of Psychological Resilience
Day, Kenny
2008-01-01T23:59:59.000Z
of quality of life in those with epilepsy. However, not all studies have shown this effect. Psychosocial factors have recently received more attention and there is some evidence that they may provide a better account of the variance than seizure frequency...
ON THE SELF-TUNING REGULATOR AND A PRIORI ELS CONVERGENCE.
Moore, John Barratt
control theory development following on from the self-tuning-regulator (STR) algorithms of Astran design and some subsequent "direct" adaptive control algorithms is that only the minimum varianceON THE SELF-TUNING REGULATOR AND A PRIORI ELS CONVERGENCE. John B. Moore* and Robert R. Bitmead
Moya, Hiram
2012-10-19T23:59:59.000Z
times. Each POE is configured as a multi-commodity, prioritized queueing network which rarely, if ever, operates in steady-state. Therefore, the problem is about finding a balance between a reduction of wait time and its variance, POE operation costs...
Original Article Proceedings of IDMME -Virtual Concept 2008 Beijing, China, October 8 10, 2008
Theune, Mariėt
Multiple ANalyses Of VAriance MR Mixed Reality RW Real World SE Synthetic Environment SME Small and Medium to any deliberately constructed artificial environment as a replacement to the real and natural Virtual Concept_P56 -1- Copyright of IDMME - Virtual Concept APPLICABILITY OF SYNTHETIC ENVIRONMENTS
The Role of Acculturation in Nutrition Behaviors among Low Income Hispanic Women Living in Texas
Atehortua, Nelson
2012-10-19T23:59:59.000Z
food packages in Texas' WIC program. A total of 3,336 adult, non-pregnant women self-identified as having Hispanic ethnic background of all races were considered for this study. Analysis of Variance and Kruskal-Wallis tests showed significant...
Divide-and-Conquer Learning by Anchoring a Conical Hull
Noble, William Stafford
-order moments to parameters in a matrix form up to column scale, the variance of sample moments is still for big data. In addition, recovering a parameter matrix with uncertain column scale might not be feasible , and build a new theory for the identifiability of A. T
Kambhampati, Subbarao
the load profile has a reduced variance. The method in [14] is based on the use of the analytical model of the battery behavior and its dependence on the characteristics of the discharge profile. In this paper, we. The algorithm has been validated on synthetic ex- amples created from applications running on Compaq's handheld
Statistics and Probability group homepage: http://www.dur.ac.uk/mathematical.sciences/stats/
Wirosoetisno, Djoko
work with expectations and variances. M. Goldstein and D. Wooff, Wiley, 2007 · Uncertainty analysis for large scale physical problems Analysis of computer simulators for complex models of physical systems (e.g. an ecosystem). Forecasting the global climate, rapid climate change, modelling of oil reservoirs, plankton
Realized Stock Volatility 2.1 Introduction
Niebur, Ernst
Chapter 2 Realized Stock Volatility 2.1 Introduction Financial market volatility is indispensable for asset and derivative pricing, asset allocation, and risk management. As volatility is not a directly is to calculate the daily volatility from the sample variance of intraday returns, the `realized' volatility
Effect of gamma radiation on selected functional and physical properties of liquid egg white
Ball, Hershell Ray
1966-01-01T23:59:59.000Z
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ o 14 4 The relative protein composition of egg white (Warner, 1954 ) . . . . . . . . . . . . . . . ~ . . . . . . . . . . . ~ 22 5 Analysis of variance for beating time . . ~. . . . . . . . 30 6 Multiple regression analysis of beating time... . . . . . . . . . . . . . . . . . . . . , . . 42 5 Illustration of textural difference &. . . . . . . . . . . 46 6 Typical electrophoretic patterns obtained . . . . . . 76 C HL PTER I GENERA L CONSIDERATIONS Introduction The use of ionizing radiation in the processing of foods has been...
A Selective Sampling Approach to Active Feature Selection
Liu, Huan
in a filter model setting. We present a formal- ism of selective sampling based on data variance, and apply deterioration. We design ob- jective evaluation measures of performance, conduct extensive experiments using, text mining, customer relationship management, and market basket anal- ysis [2, 35, 43, 44, 55, 57
An Efficient Algorithm for REML in Heteroscedastic Regression
Smyth, Gordon K.
An Efficient Algorithm for REML in Heteroscedastic Regression Gordon K. Smyth Walter and Eliza Hall of covariates relevant for predicting the variance and and are vectors of regression coefficients. The model). Heteroscedastic regression models have an extensive literature going back to Park (1966), Rutemiller & Bowers
Bork-Jensen, Jette; Scheele, Camilla; Christophersen, Daniel V.; Nilsson, Emma; Friedrichsen, Martin; Fernandez-Twinn, Denise S.; Grunnet, Louise Groth; Litman, Thomas; Holmstrųm, Kim; Vind, Birgitte; Hųjlund, Kurt; Beck-Nielsen, Henning; Wojtaszewski, Jųrgen; Ozanne, Susan E.; Pedersen, Bente K.; Poulsen, Pernille; Vaag, Allan
2014-11-19T23:59:59.000Z
, Astrand M, Speed TP (2003) A comparison of normalization 480 methods for high density oligonucleotide array data based on variance and bias. 481 Bioinformatics 19: 185-193 482 22. Edgar R, Domrachev M, Lash AE (2002) Gene Expression Omnibus: NCBI...
Dimensionality and noise in energy selective x-ray imaging
Alvarez, Robert E. [Aprend Technology, Mountain View, California 94043 (United States)] [Aprend Technology, Mountain View, California 94043 (United States)
2013-11-15T23:59:59.000Z
Purpose: To develop and test a method to quantify the effect of dimensionality on the noise in energy selective x-ray imaging.Methods: The Cramčr-Rao lower bound (CRLB), a universal lower limit of the covariance of any unbiased estimator, is used to quantify the noise. It is shown that increasing dimensionality always increases, or at best leaves the same, the variance. An analytic formula for the increase in variance in an energy selective x-ray system is derived. The formula is used to gain insight into the dependence of the increase in variance on the properties of the additional basis functions, the measurement noise covariance, and the source spectrum. The formula is also used with computer simulations to quantify the dependence of the additional variance on these factors. Simulated images of an object with three materials are used to demonstrate the trade-off of increased information with dimensionality and noise. The images are computed from energy selective data with a maximum likelihood estimator.Results: The increase in variance depends most importantly on the dimension and on the properties of the additional basis functions. With the attenuation coefficients of cortical bone, soft tissue, and adipose tissue as the basis functions, the increase in variance of the bone component from two to three dimensions is 1.4 × 10{sup 3}. With the soft tissue component, it is 2.7 × 10{sup 4}. If the attenuation coefficient of a high atomic number contrast agent is used as the third basis function, there is only a slight increase in the variance from two to three basis functions, 1.03 and 7.4 for the bone and soft tissue components, respectively. The changes in spectrum shape with beam hardening also have a substantial effect. They increase the variance by a factor of approximately 200 for the bone component and 220 for the soft tissue component as the soft tissue object thickness increases from 1 to 30 cm. Decreasing the energy resolution of the detectors increases the variance of the bone component markedly with three dimension processing, approximately a factor of 25 as the resolution decreases from 100 to 3 bins. The increase with two dimension processing for adipose tissue is a factor of two and with the contrast agent as the third material for two or three dimensions is also a factor of two for both components. The simulated images show that a maximum likelihood estimator can be used to process energy selective x-ray data to produce images with noise close to the CRLB.Conclusions: The method presented can be used to compute the effects of the object attenuation coefficients and the x-ray system properties on the relationship of dimensionality and noise in energy selective x-ray imaging systems.
Response of South American ecosystems to precipitation variability
Ganguly, Auroop R [ORNL; Erickson III, David J [ORNL; Bras, Rafael L [ORNL
2009-12-01T23:59:59.000Z
The Ecosystem Demography Model 2 is a dynamic ecosystem model and land surface energy balance model. ED2 discretizes landscapes of particular terrain and meteorology into fractional areas of unique disturbance history. Each fraction, defined by a shared vertical soil column and canopy air space, contains a stratum of plant groups unique in functional type, size and number density. The result is a vertically distributed representation of energy transfer and plant dynamics (mortality, productivity, recruitment, disturbance, resource competition, etc) that successfully approximates the behaviour of individual-based vegetation models. In previous exercises simulating Amazonian land surface dynamics with ED2, it was observed that when using grid averaged precipitation as an external forcing the resulting water balance typically over-estimated leaf interception and leaf evaporation while under estimating through-fall and transpiration. To investigate this result, two scenario were conducted in which land surface biophysics and ecosystem demography over the Northern portion of South America are simulated over {approx}200 years: (1) ED2 is forced with grid averaged values taken from the ERA40 reanalysis meteorological dataset; (2) ED2 is forced with ERA40 reanalysis, but with its precipitation re-sampled to reflect statistical qualities of point precipitation found at rain gauge stations in the region. The findings in this study suggest that the equilibrium moisture states and vegetation demography are co-dependent and show sensitivity to temporal variability in precipitation. These sensitivities will need to be accounted for in future projections of coupled climate-ecosystem changes in South America.
A simple method to estimate interwell autocorrelation
Pizarro, J.O.S.; Lake, L.W. [Univ. of Texas, Austin, TX (United States)
1997-08-01T23:59:59.000Z
The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.
Navier-Stokes equation describes the movement of a special superfluid medium
Sbitnev, Valeriy I
2015-01-01T23:59:59.000Z
The Navier-Stokes equation contains two terms which have been subjected to slight modification: (a) the viscosity term depends of time (the viscosity in average on time is zero, but its variance is nonzero); (b) the pressure gradient contains an added term describing the entropy gradient multiplied by the pressure. Owing to these modifications, the Navier-Stokes equation can be reduced to the Schr\\"odinger equation describing behavior of a particle into the vacuum, where the vacuum is a superfluid medium. Vortex structures arising in this medium show infinitely long life owing to zero average viscosity. The nonzero variance describes exchange of the vortex energy with zero-point energy of the vacuum. Radius of the vortex trembles around some average value. This observation sheds the light to the Zitterbewegung phenomenon. The vortex has a non-zero core where the vortex velocity vanishes. Its organization is discussed with the point of view of the Calabi-Yau manifold.
High Resolution Muon Computed Tomography at Neutrino Beam Facilities
Suerfu, Burkhant
2015-01-01T23:59:59.000Z
X-ray computed tomography (CT) has an indispensable role in constructing 3D images of objects made from light materials. However, limited by absorption coefficients, X-rays cannot deeply penetrate materials such as copper and lead. Here we show via simulation that muon beams can provide high resolution tomographic images of dense objects and of structures within the interior of dense objects. The effects of resolution broadening from multiple scattering diminish with increasing muon momentum. As the momentum of the muon increases, the contrast of the image goes down and therefore requires higher resolution in the muon spectrometer to resolve the image. The variance of the measured muon momentum reaches a minimum and then increases with increasing muon momentum. The impact of the increase in variance is to require a higher integrated muon flux to reduce fluctuations. The flux requirements and level of contrast needed for high resolution muon computed tomography are well matched to the muons produced in the pio...
Is there quantum chaos in the prime numbers?
Todd Timberlake; Jeffery Tucker
2008-01-07T23:59:59.000Z
A statistical analysis of the prime numbers indicates possible traces of quantum chaos. We have computed the nearest neighbor spacing distribution, number variance, skewness, and excess for sequences of the first N primes for various values of N. All four statistical measures clearly show a transition from random matrix statistics at small N toward Poisson statistics at large N. In addition, the number variance saturates at large lengths as is common for eigenvalue sequences. This data can be given a physical interpretation if the primes are thought of as eigenvalues of a quantum system whose classical dynamics is chaotic at low energy but regular at high energy. We discuss some difficulties with this interpretation in an attempt to clarify what kind of physical system might have the primes as its quantum eigenvalues.
Business cycles in oil economies
Al-Mutairi, N.H.
1991-01-01T23:59:59.000Z
This study examines the impact of oil price shocks on output fluctuations of several oil-exporting economies. In most studies of business cycles, the role of oil price is ignored; the few studies that use oil price as one of the variables in the system focus on modeling oil-importing economies. The vector autoregression (VAR) technique is used to consider the cases of Norway, Nigeria, and Mexico. Both atheoretical and structural' VARs are estimated to determine the importance of oil price impulses on output variations. The study reports two types of results: variance decomposition and impulse response functions, with particular emphasis on the issues of stationarity and co-integration among the series. The empirical results suggest that shocks to oil price are important in explaining output variations. In most cases, shocks to oil price are shown to explain more than 20% of the forecast variance of output over a 40-quarter horizon.
New near-wall two-equation model for turbulent heat transport
Torii, Shuichi [Kagoshima Univ. (Japan). Dept. of Mechanical Engineering; Yang, W.J. [Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Mechanical Engineering and Applied Mechanics
1996-03-01T23:59:59.000Z
An anisotropic two-equation model is proposed to determine turbulent heat flux in a channel flow up to the wall. The turbulent heat fluxes are given in the form of an anisotropic eddy diffusivity representation in which both the isotropic and anisotropic eddy diffusivities of heat are expressed using the temperature variance {ovr t{sup 2}}, the dissipation rate of temperature fluctuations {var_epsilon}{sub t}, and the velocity gradient. The proposed model is tested through application to an incompressible, two-dimensional, turbulent channel flow with the neglect of buoyant heat transfer. Calculated results are compared with the direct numerical simulation data. It is disclosed from the study that the proposed anisotropic {ovr t{sup 2}}-{var_epsilon}{sub t} heat transfer model predicts reasonably well the distributions of the time-averaged temperature, normal and streamwise turbulent heat fluxes, temperature variance, dissipation rates, and these near-wall budgets.
Fourier Analytic Approach to Phase Estimation
Hiroshi Imai; Masahito Hayashi
2008-10-31T23:59:59.000Z
For a unified analysis on the phase estimation, we focus on the limiting distribution. It is shown that the limiting distribution can be given by the absolute square of the Fourier transform of $L^2$ function whose support belongs to $[-1,1]$. Using this relation, we study the relation between the variance of the limiting distribution and its tail probability. As our result, we prove that the protocol minimizing the asymptotic variance does not minimize the tail probability. Depending on the width of interval, we derive the estimation protocol minimizing the tail probability out of a given interval. Such an optimal protocol is given by a prolate spheroidal wave function which often appears in wavelet or time-limited Fourier analysis. Also, the minimum confidence interval is derived with the framework of interval estimation that assures a given confidence coefficient.
Inflationary power asymmetry from primordial domain walls
Jazayeri, Sadra; Firouzjahi, Hassan; Solomon, Adam R; Wang, Yi
2014-01-01T23:59:59.000Z
We study the asymmetric primordial fluctuations in a model of inflation in which translational invariance is broken by a domain wall. We calculate the corrections to the power spectrum of curvature perturbations; they are anisotropic and contain dipole, quadrupole, and higher multipoles with non-trivial scale-dependent amplitudes. Inspired by observations of these multipole asymmetries in terms of two-point correlations and variance in real space, we demonstrate that this model can explain the observed anomalous power asymmetry of the cosmic microwave background (CMB) sky, including its characteristic feature that the dipole dominates over higher multipoles. We test the viability of the model and place approximate constraints on its parameters by using observational values of dipole, quadrupole, and octopole amplitudes of the asymmetry measured by a local-variance estimator. We find that a configuration of the model in which the CMB sphere does not intersect the domain wall during inflation provides a good fi...
Yao, Shuang
2014-07-30T23:59:59.000Z
(x) = h 2B(x) + ? V (x) nh3 Zn + op(h 2 + (nh3)?1/2), (2.4) where B(x) = ( µ4?µ22 2µ2 ) g??(x)f ?(x) f(x) + µ4g???(x) 6µ2 , V (x) = ?2?2(x)/[µ22f(x)], Zn is a mean zero, unit variance random variable (Zn d? N(0, 1) under some standard regularity conditions... of ?LL(x), and choose the smoothing parameter h to minimize a weighted version of the integrated (leading) squared bias and variance of ?LL(x). This approach requires one to obtain initial estimates of g(x) and f(x) and their derivative functions up...
Clock Agreement Among Parallel Supercomputer Nodes
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Jones, Terry R.; Koenig, Gregory A.
This dataset presents measurements that quantify the clock synchronization time-agreement characteristics among several high performance computers including the current world's most powerful machine for open science, the U.S. Department of Energy's Titan machine sited at Oak Ridge National Laboratory. These ultra-fast machines derive much of their computational capability from extreme node counts (over 18000 nodes in the case of the Titan machine). Time-agreement is commonly utilized by parallel programming applications and tools, distributed programming application and tools, and system software. Our time-agreement measurements detail the degree of time variance between nodes and how that variance changes over time. The dataset includes empirical measurements and the accompanying spreadsheets.
Nuclear-data evaluation based on direct and indirect measurements with general correlations
Muir, D.W.
1988-01-01T23:59:59.000Z
Optimum procedures for the statistical improvement, or updating, of an existing nuclear-data evaluation are reviewed and redeveloped from first principles, consistently employing a minimum-variance viewpoint. A set of equations is derived which provides improved values of the data and their covariances, taking into account information from supplementary measurements and allowing for general correlations among all measurements. The minimum-variance solutions thus obtained, which we call the method of ''partitioned least squares,'' are found to be equivalent to a method suggested by Yu. V. Linnik and applied by a number of authors to the analysis of fission-reactor integral experiments; however, up to now, the partitioned-least-squares formulae have not found widespread use in the field of basic data evaluation. This approach is shown to give the same results as the more commonly applied Normal equations, but with reduced matrix inversion requirements. Examples are provided to indicate potential areas of application. 10 refs.
Park, So-Yeon [Department of Radiation Oncology, Seoul National University Hospital, Seoul 110-744 (Korea, Republic of); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 110-744 (Korea, Republic of); Biomedical Research Institute, Seoul National University College of Medicine, Seoul 110-744 (Korea, Republic of); Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Medicine, Seoul 110-799 (Korea, Republic of); Kim, Il Han [Department of Radiation Oncology, Seoul National University Hospital, Seoul 110-744 (Korea, Republic of); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 110-744 (Korea, Republic of); Biomedical Research Institute, Seoul National University College of Medicine, Seoul 110-744 (Korea, Republic of); Department of Radiation Oncology, Seoul National University College of Medicine, Seoul 110-744 (Korea, Republic of); Ye, Sung-Joon [Department of Radiation Oncology, Seoul National University Hospital, Seoul 110-744, (Korea, Republic of); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 110-744 (Korea, Republic of); Biomedical Research Institute, Seoul National University College of Medicine, Seoul 110-744 (Korea, Republic of); Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Seoul National University Graduate School of Convergence Science and Technology, Suwon 433-270 (Korea, Republic of); Carlson, Joel [Biomedical Research Institute, Seoul National University College of Medicine, Seoul 110-744 (Korea, Republic of); Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Seoul National University Graduate School of Convergence Science and Technology, Suwon 433-270 (Korea, Republic of); and others
2014-11-01T23:59:59.000Z
Purpose: Texture analysis on fluence maps was performed to evaluate the degree of modulation for volumetric modulated arc therapy (VMAT) plans. Methods: A total of six textural features including angular second moment, inverse difference moment, contrast, variance, correlation, and entropy were calculated for fluence maps generated from 20 prostate and 20 head and neck VMAT plans. For each of the textural features, particular displacement distances (d) of 1, 5, and 10 were adopted. To investigate the deliverability of each VMAT plan, gamma passing rates of pretreatment quality assurance, and differences in modulating parameters such as multileaf collimator (MLC) positions, gantry angles, and monitor units at each control point between VMAT plans and dynamic log files registered by the Linac control system during delivery were acquired. Furthermore, differences between the original VMAT plan and the plan reconstructed from the dynamic log files were also investigated. To test the performance of the textural features as indicators for the modulation degree of VMAT plans, Spearmans rank correlation coefficients (r{sub s}) with the plan deliverability were calculated. For comparison purposes, conventional modulation indices for VMAT including the modulation complexity score for VMAT, leaf travel modulation complexity score, and modulation index supporting station parameter optimized radiation therapy (MI{sub SPORT}) were calculated, and their correlations were analyzed in the same way. Results: There was no particular textural feature which always showed superior correlations with every type of plan deliverability. Considering the results comprehensively, contrast (d = 1) and variance (d = 1) generally showed considerable correlations with every type of plan deliverability. These textural features always showed higher correlations to the plan deliverability than did the conventional modulation indices, except in the case of modulating parameter differences. The r{sub s} values of contrast to the global gamma passing rates with criteria of 2%/2 mm, 2%/1 mm, and 1%/2 mm were 0.536, 0.473, and 0.718, respectively. The respective values for variance were 0.551, 0.481, and 0.688. In the case of local gamma passing rates, the r{sub s} values of contrast were 0.547, 0.578, and 0.620, respectively, and those of variance were 0.519, 0.527, and 0.569. All of the r{sub s} values in those cases were statistically significant (p < 0.003). In the cases of global and local gamma passing rates, MI{sub SPORT} showed the highest correlations among the conventional modulation indices. For global passing rates, r{sub s} values of MI{sub SPORT} were ?0.420, ?0.330, and ?0.632, respectively, and those for local passing rates were ?0.455, ?0.490 and ?0.502. The values of r{sub s} of contrast, variance, and MI{sub SPORT} with the MLC errors were ?0.863, ?0.828, and 0.795, respectively, all with statistical significances (p < 0.001). The correlations with statistical significances between variance and dose-volumetric differences were observed more frequently than the others. Conclusions: The contrast (d = 1) and variance (d = 1) calculated from fluence maps of VMAT plans showed considerable correlations with the plan deliverability, indicating their potential use as indicators for assessing the degree of modulation of VMAT plans. Both contrast and variance consistently showed better performance than the conventional modulation indices for VMAT.