A study of bias in variance estimation with one unit per stratum
Kieffer, Grace Kloor
1967-01-01
. estimate of Y is L h=l h h th where y is the sample mean in the 'h stratum, The variance of h the estimate is given by where L 2 h S2 Var Y= ZN (1- ? ) h h=l h Nh N E (yh -"h) S 2 i=1 N -1 h If the strata allocations, n , are ail at least two... in their bias formula results when the strata are paired and the A. , are equal in pairs so that n1 (2, 7 In this case the variance estimate becomes I, /2 g=l (2. 8) Seth L8 ] gives the above estimate and. its bias I, /2 B = E (Nh'Yh'-Nh2Yh2 1. 1...
Water permeation through stratum corneum lipid bilayers from atomistic simulations
Chinmay Das; Peter D. Olmsted; Massimo G. Noro
2009-07-09
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)
2011-04-20
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.
Developmental plasticity of cutaneous water loss and lipid composition in stratum corneum of desert
Williams, Jos. B.
Developmental plasticity of cutaneous water loss and lipid composition in stratum corneum of desert and cerebrosides in the SC compared with mesic spar- rows. In this study, we investigated developmental plasticity modifications of the lipid composition of the SC. The expression of plasticity in CWL seems to be a response
Cosmology without cosmic variance
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Bernstein, Gary M.; Cai, Yan -Chuan
2011-10-01
The growth of structures in the Universe is described by a function G that is predicted by the combination of the expansion history of the Universe and the laws of gravity within it. We examine the improvements in constraints on G that are available from the combination of a large-scale galaxy redshift survey with a weak gravitational lensing survey of background sources. We describe a new combination of such observations that in principle this yields a measure of the growth rate that is free of sample variance, i.e. the uncertainty in G can be reduced without bound by increasing themore »number of redshifts obtained within a finite survey volume. The addition of background weak lensing data to a redshift survey increases information on G by an amount equivalent to a 10-fold increase in the volume of a standard redshift-space distortion measurement - if the lensing signal can be measured to sub-per cent accuracy. This argues that a combined lensing and redshift survey over a common low-redshift volume of the Universe is a more powerful test of general relativity than an isolated redshift survey over larger volume at high redshift, especially as surveys begin to cover most of the available sky.« less
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
Inhomogeneity-induced variance of cosmological parameters
Alexander Wiegand; Dominik J. Schwarz
2012-02-18
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
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
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
The Theory of Variances in Equilibrium Reconstruction
Zakharov, Leonid E.; Lewandowski, Jerome; Foley, Elizabeth L.; Levinton, Fred M.; Yuh, Howard Y.; Drozdov, Vladimir; McDonald, Darren
2008-01-14
The theory of variances of equilibrium reconstruction is presented. It complements existing practices with information regarding what kind of plasma profiles can be reconstructed, how accurately, and what remains beyond the abilities of diagnostic systems. The #27;?-curves, introduced by the present theory, give a quantitative assessment of quality of effectiveness of diagnostic systems in constraining equilibrium reconstructions. The theory also suggests a method for aligning the accuracy of measurements of different physical nature.
Yandell, Brian S.
be computationally feasible on a na- tional basis. For this study, a structural log-linear model for sire models for genetic evaluation of dairy cattle assume that genetic and residual components of variance and conformation traits, which can reduce accuracy of selection and cause biases in the proportions of breeding
Scalable Ensemble Learning and Computationally Efficient Variance Estimation
LeDell, Erin
2015-01-01
Metalearning 5 Computationally Efficient Variance Estimation12] Peter J. Bickel et al. Efficient and adaptive estimationJ. Wainwright. “Communication-Efficient Algorithms for
Reduction of Emission Variance by Intelligent Air Path Control
Broader source: Energy.gov [DOE]
This poster describes an air path control concept, which minimizes NOx and PM emission variance while having the ability to run reliably with many different sensor configurations.
Section 5 (cont.): Variance and Standard Deviation; Chebyshev's ...
2014-09-25
Section 5 (cont.): Variance and Standard. Deviation; Chebyshev's Inequality. October 2nd, 2014. Lesson 9. Page 2. In the previous lesson, we introduced an ...
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
Second order accurate variance estimation in poststratified two-stage sampling
Kim, Kyong Ryun
2007-09-17
We proposed new variance estimators for the poststratified estimator of the population total in two-stage sampling. The linearization or Taylor series variance estimator and the jackknife linearization variance estimator ...
Quantum Fisher Information as the Convex Roof of Variance
Sixia Yu
2013-02-21
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.
Smoothing method aids gas-inventory variance trending
Mason, R.G. )
1992-03-23
This paper reports on a method for determining gas-storage inventory and variance in a natural-gas storage field which uses the equations developed to determine gas-in-place in a production field. The calculations use acquired data for shut-in pressures, reservoir pore volume, and storage gas properties. These calculations are then graphed and trends are developed. Evaluating trends in inventory variance can be enhanced by use of a technique, described here, that smooths the peaks and valleys of an inventory-variance curve. Calculations using the acquired data determine inventory for a storage field whose drive mechanism is gas expansion (that is, volumetric). When used for a dry gas, condensate, or gas-condensate reservoir, the formulas require no further modification. Inventory in depleted oil fields can be determined in this same manner, as well. Some additional calculations, however, must be made to assess the influence of oil production on the gas-storage process.
Variance Reduction Techniques for Implicit Monte Carlo Simulations
Landman, Jacob Taylor
2013-09-19
the transport of energy in the form of radiation. Particles that reach the end of a time step without losing their entire energy are moved to "census" and will continue in the next time step. In order to reduce the variance of the solution, a neutronics...
Blind separation of sources that have spatiotemporal variance dependencies
HyvĂ¤rinen, Aapo
Helsinki Institute for Information Technology, Basic Research Unit, Dept of Computer Science, University of HelsinkiÂŁ . 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 HyvÂ¨arinen a b
Blind separation of sources that have spatiotemporal variance dependencies
HyvĂ¤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, FINÂ00014 University of Helsinki, FaxBlind separation of sources that have spatiotemporal variance dependencies Aapo HyvË? arinen a;b;#3
EFFICIENCY IMPROVEMENT AND VARIANCE REDUCTION Pierre L'Ecuyer
Vázquez-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
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
Variance analysis in the quality control of ready mixed concrete in a major structure
Valle Aguilar, Jorge Luis
1984-01-01
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...
Fringe biasing: A variance reduction technique for optically thick meshes
Smedley-Stevenson, R. P.
2013-07-01
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)
Fast Noise Variance Estimation by Principal Component Stanislav Pyatykha, Lei Zhenga, Jurgen Hessera
Hesser, Jürgen
Fast Noise Variance Estimation by Principal Component Analysis Stanislav Pyatykha, Lei Zhenga, J Mannheim, Germany ABSTRACT Noise variance estimation is required in many image denoising, compression, and segmentation applications. In this work, we propose a fast noise variance estimation algorithm based
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)
2013-11-01
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)
2013-01-15
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.
On the variance of linear statistics of Hermitian random matrices
Chao Min; Yang Chen
2015-11-03
Linear statistics, a random variable build out of the sum of the evaluation of functions at the eigenvalues of a N times N random matrix,sum[j=1 to N]f(xj) or tr f(M), is an ubiquitous statistical characteristics in random matrix theory. Hermitian random matrix ensembles, under the eigenvalue-eigenvector decomposition give rise to the joint probability density functions of N random variables. We show that if f(.) is a polynomial of degree K, then the variance of trf(M), is of the form,sum[n=1 to K] n(d[n])square, and d[n] is related to the expansion coefficients c[n] of the polynomial f(x) =sum[n=0 to K] c[n] b Pn(x), where Pn(x) are polynomials of degree n, orthogonal with respect to the weights 1/[(b-x)(x-a)]^(1/2), [(b -x)(x -a)]^(1/2), [(b-x)(x-a)]^(1/2)/x; (0 < a < x < b), [(b-x)(x-a)]^(1/2)/[x(1-x)] ; (0 < a < x < b < 1), respectively.
Wu, Alan HB
2011-01-01
this article as: Wu: Drug metabolizing enzyme activitiesgenetic variances for drug of clinical pharmacogenomicPROTEOMICS Open Access Drug metabolizing enzyme activities
Segmentation of vessels using weighted local variances and an active contour model
Chung, Albert C. S.
Segmentation of vessels using weighted local variances and an active contour model W. K. Law is a challenging problem. This paper presents a novel approach to segment- ing blood vessels using weighted local variances and an ac- tive contour model. In this work, the vessel boundary orien- tation is estimated
Vessel and Intracranial Aneurysm Segmentation Using Multi-range Filters and Local Variances
Chung, Albert C. S.
Vessel and Intracranial Aneurysm Segmentation Using Multi-range Filters and Local Variances Max W,achung}@cse.ust.hk Abstract. Segmentation of vessels and brain aneurysms on non-invasive and flow-sensitive phase contrast and local variances to perform segmentation of vessels and intracranial aneurysms on PCMRA images
Coyotes, Jazz, and Creative Teams: Facing and Seeking Variance Russ Derickson
Gordon, Scott
various domains. Recent reports of over reduction of variance through misuse of Six Sigma quality for their innovation entered into misapplication of Six-Sigma quality practices that severely diminished idea the apparent overuse of Six Sigma variance reduction in various enterprises, we present a systems model
Bayesian Design for the Normal Linear Model with Unknown Error Variance
of specific design criteria to specific prior assumptions on the variance has been demonstrated, but a general, 1985; Pilz, 1991) defined Bayesian optimal design criteria as functions OE(X) of the posteriorBayesian Design for the Normal Linear Model with Unknown Error Variance Isabella Verdinelli
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
Development of a treatability variance guidance document for US DOE mixed-waste streams
Scheuer, N.; Spikula, R. ); Harms, T. . Environmental Guidance Div.); Triplett, M.B. )
1990-03-01
In response to the US Department of Energy's (DOE's) anticipated need for variances from the Resource Conservation and Recovery Act (RCRA) Land Disposal Restrictions (LDRs), a treatability variance guidance document was prepared. The guidance manual is for use by DOE facilities and operations offices. The manual was prepared as a part of an ongoing effort by DOE-EH to provide guidance for the operations offices and facilities to comply with the RCRA (LDRs). A treatability variance is an alternative treatment standard granted by EPA for a restricted waste. Such a variance is not an exemption from the requirements of the LDRs, but rather is an alternative treatment standard that must be met before land disposal. The manual, Guidance For Obtaining Variance From the Treatment Standards of the RCRA Land Disposal Restrictions (1), leads the reader through the process of evaluating whether a variance from the treatment standard is a viable approach and through the data-gathering and data-evaluation processes required to develop a petition requesting a variance. The DOE review and coordination process is also described and model language for use in petitions for DOE radioactive mixed waste (RMW) is provided. The guidance manual focuses on RMW streams, however the manual also is applicable to nonmixed, hazardous waste streams. 4 refs.
Liu, Qinyan
2005-08-29
in diagnosing dimensional variation sources in assembly processes. Sensitivity indices of detecting process mean and variance components are defined as the design criteria and are derived in terms of process layout and sensor deployment information. Exchange...
Lee, Yuan-Hsuan
2011-10-21
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 ...
Internal resistance variances in lithium-ion batteries and implications in manufacturing
Gogoana, Radu
2012-01-01
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 ...
Epistasis Is a Major Determinant of the Additive Genetic Variance in Mimulus guttatus
Monnahan, Patrick J.; Kelly, John K.
2015-05-11
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 stability of spectroscopic instruments: A unified Allan variance computation scheme
Volker Ossenkopf
2007-12-28
The Allan variance is a standard technique to characterise the stability of spectroscopic instruments used in astronomical observations. The period for switching between source and reference measurement is often derived from the Allan minimum time. We propose a new approach for the computation of the Allan variance of spectrometer data combining the advantages of the two existing methods into a unified scheme. Using the Allan variance spectrum we derive the optimum strategy for symmetric observing schemes minimising the total uncertainty of the data resulting from radiometric and drift noise. The unified Allan variance computation scheme is designed to trace total-power and spectroscopic fluctuations within the same framework. The method includes an explicit error estimate both for the individual Allan variance spectra and for the derived stability time. A new definition of the instrument stability time allows to characterise the instrument even in the case of a fluctuation spectrum shallower than 1/f, as measured for the total power fluctuations in high-electron-mobility transistors. We find a non-linear impact of the binning of spectrometer channels on the resulting noise and the Allan time deviating from the description in existing theoretical treatments.
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
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 efficiency of the crude oil markets: Evidence from variance ratio tests
Paris-Sud XI, Université de
The efficiency of the crude oil markets: Evidence from variance ratio tests Amélie CHARLES Audencia the random walk hypothesis for the crude oil markets, using daily data over the period 19822008. The weak-form efficient market hy- pothesis for two oil crude markets (UK Brent and US West Texas Intermediate) is tested
599Music Cognition and Perception reduce the uncertainty of (or variance associated
Levitin, Daniel
599Music Cognition and Perception reduce the uncertainty of (or variance associated with) our and Vision; Perceptual-Motor Integration Music cognition and PercePtion Music cognition and perception is the scientific study of those mental and neural operations under- lying music listening, music making, dancing
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
A Note on Bayesian Design for the Normal Linear Model with Unknown Error Variance
the assumption of known variance. The insensitivity of specific design criteria to prior assumptions thought. Some Key Words: Bayesian design criteria; Design for prediction; Linear model; Expected Utility known coincides with the one that minimizes OE(X) for oe 2 unknown. A number of optimal design criteria
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
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
2015-01-01
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.
Scheuer, N.; Spikula, R. ); Harms, T. . Environmental Guidance Div.); Triplett, M.B. )
1990-02-01
In response to the US Department of Energy's (DOE's) anticipated need for variances from the Resource Conservation and Recovery Act (RCRA) Land Disposal Restrictions (LDRs), a guidance manual was prepared. The guidance manual is for use by DOE facilities and operations offices in obtaining variances from the RCRA LDR treatment standards. The manual was prepared as a part of an ongoing effort by DOE-EH to provide guidance for the operations offices and facilities to comply with the RCRA LDRs. The manual addresses treatability variances and equivalent treatment variances. A treatability variance is an alternative treatment standard granted by EPA for a restricted waste. Such a variance is not an exemption from the requirements of the LDRs, but rather is an alternative treatment standard that must be met before land disposal. An equivalent treatment variance is granted by EPA that allows treatment of a restricted waste by a process that differs from that specified in the standards, but achieves a level of performance equivalent to the technology specified in the standard. 4 refs.
Continuous growth of droplet size variance due to condensation in turbulent clouds
Sardina, Gaetano; Brandt, Luca; Caballero, Rodrigo
2015-01-01
We use a stochastic model and direct numerical simulation to study the impact of turbulence on cloud droplet growth by condensation. We show that the variance of the droplet size distribution increases in time as $t^{1/2}$, with growth rate proportional the large-to-small turbulent scale separation and to the turbulence integral scales but independent of the smallest turbulence scale. Direct numerical simulations confirm this result and produce realistically broad droplet size spectra over time intervals of 20 minutes, comparable with the time of rain formation.
Goutte, Stéphane; Russo, Francesco
2012-01-01
We consider the discretized version of a (continuous-time) two-factor model introduced by Benth and coauthors for the electricity markets. For this model, the underlying is the exponent of a sum of independent random variables. We provide and test an algorithm, which is based on the celebrated Foellmer-Schweizer decomposition for solving the mean-variance hedging problem. In particular, we establish that decomposition explicitely, for a large class of vanilla contingent claims. Interest is devoted in the choice of rebalancing dates and its impact on the hedging error, regarding the payoff regularity and the non stationarity of the log-price process.
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)
2013-08-01
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.
A random effects variance shift model for detecting and accommodating outliers in meta-analysis
Gumedze, Freedom N.; Jackson, Dan
2011-02-16
the RVSOM (4) for the jth observation is var( )y d d V= ? +? j j2 j . If we further define ?i2 0= for i ? j, the REML log- likelihood function for this model is RL y j i i i i i i ( )( , ) log( ) ( )? ? ? ? ? ?? ? ? 2 2 2 2 2 2 2 2 2 1 2 ; y... considered to be outliers, D = [dj] is an n × r matrix containing entires of 0 and 1, where an entry of 1 in the ith row and jth column indicates that study i has the jth of r inflated variances, and ?I is a r × 1 vector of unknown random effects. We refer...
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
Importance Sampling Variance Reduction for the Fokker-Planck Rarefied Gas Particle Method
Collyer, Benjamin; Lockerby, Duncan
2015-01-01
Models and methods that are able to accurately and efficiently predict the flows of low-speed rarefied gases are in high demand, due to the increasing ability to manufacture devices at micro and nano scales. One such model and method is a Fokker-Planck approximation to the Boltzmann equation, which can be solved numerically by a stochastic particle method. The stochastic nature of this method leads to noisy estimates of the thermodynamic quantities one wishes to sample when the signal is small in comparison to the thermal velocity of the gas. Recently, Gorji et al have proposed a method which is able to greatly reduce the variance of the estimators, by creating a correlated stochastic process which acts as a control variate for the noisy estimates. However, there are potential difficulties involved when the geometry of the problem is complex, as the method requires the density to be solved for independently. Importance sampling is a variance reduction technique that has already been shown to successfully redu...
Waste Isolation Pilot Plant no-migration variance petition. Executive summary
Not Available
1990-12-31
Section 3004 of RCRA allows EPA to grant a variance from the land disposal restrictions when a demonstration can be made that, to a reasonable degree of certainty, there will be no migration of hazardous constituents from the disposal unit for as long as the waste remains hazardous. Specific requirements for making this demonstration are found in 40 CFR 268.6, and EPA has published a draft guidance document to assist petitioners in preparing a variance request. Throughout the course of preparing this petition, technical staff from DOE, EPA, and their contractors have met frequently to discuss and attempt to resolve issues specific to radioactive mixed waste and the WIPP facility. The DOE believes it meets or exceeds all requirements set forth for making a successful ``no-migration`` demonstration. The petition presents information under five general headings: (1) waste information; (2) site characterization; (3) facility information; (4) assessment of environmental impacts, including the results of waste mobility modeling; and (5) analysis of uncertainties. Additional background and supporting documentation is contained in the 15 appendices to the petition, as well as in an extensive addendum published in October 1989.
Rate increase in chemical reaction and its variance under turbulent equilibrium
Shunichi Tsuge
2000-01-27
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)
1995-05-31
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.
Robertson, Brant E.; Stark, Dan P.; Ellis, Richard S.; Dunlop, James S.; McLure, Ross J.; McLeod, Derek
2014-12-01
Strong gravitational lensing provides a powerful means for studying faint galaxies in the distant universe. By magnifying the apparent brightness of background sources, massive clusters enable the detection of galaxies fainter than the usual sensitivity limit for blank fields. However, this gain in effective sensitivity comes at the cost of a reduced survey volume and, in this Letter, we demonstrate that there is an associated increase in the cosmic variance uncertainty. As an example, we show that the cosmic variance uncertainty of the high-redshift population viewed through the Hubble Space Telescope Frontier Field cluster Abell 2744 increases from ?35% at redshift z ? 7 to ? 65% at z ? 10. Previous studies of high-redshift galaxies identified in the Frontier Fields have underestimated the cosmic variance uncertainty that will affect the ultimate constraints on both the faint-end slope of the high-redshift luminosity function and the cosmic star formation rate density, key goals of the Frontier Field program.
Waste Isolation Pilot Plant No-Migration Variance Petition. Revision 1, Volume 1
Hunt, Arlen
1990-03-01
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.
2012-01-01
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.
Obbard, Darren
potential Host nutrition alters the variance in parasite transmission Pedro F. Vale, Marc Choisy://rsbl.royalsocietypublishing.org/content/suppl/2013/02/07/rsbl.2012.1145.DC1. "Data Supplement" References http in parasite transmission potential. Biol Lett 9: 20121145. http://dx.doi.org/10.1098/rsbl.2012.1145 Received
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
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]
Memorandum CH2M WG Idaho, LLC, Request for Variance to Title 10, Code of Federal Regulations Part 851, "Worker Safety and Health Program"
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
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)
2014-06-01
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.
No-migration variance petition for the Waste Isolation Pilot Plant
Carnes, R.G.; Hart, J.S. ); Knudtsen, K. )
1990-01-01
The Waste Isolation Pilot Plant (WIPP) is a US Department of Energy (DOE) project to provide a research and development facility to demonstrate the safe disposal of radioactive waste resulting from US defense activities and programs. The DOE is developing the WIPP facility as a deep geologic repository in bedded salt for transuranic (TRU) waste currently stored at or generated by DOE defense installations. Approximately 60 percent of the wastes proposed to be emplaced in the WIPP are radioactive mixed wastes. Because such mixed wastes contain a hazardous chemical component, the WIPP is subject to requirements of the Resource Conservation and Recovery Act (RCRA). In 1984 Congress amended the RCRA with passage of the Hazardous and Solid Waste Amendments (HSWA), which established a stringent regulatory program to prohibit the land disposal of hazardous waste unless (1) the waste is treated to meet treatment standards or other requirements established by the Environmental Protection Agency (EPA) under {section}3004(n), or (2) the EPA determines that compliance with the land disposal restrictions is not required in order to protect human health and the environment. The DOE WIPP Project Office has prepared and submitted to the EPA a no-migration variance petition for the WIPP facility. The purpose of the 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 WIPP facility for as long as the wastes remain hazardous. This paper provides an overview of the petition and describes the EPA review process, including key issues that have emerged during the review. 5 refs.
Dina Chernikova; Kĺre Axell; Senada Avdic; Imre Pázsit; Anders Nordlund
2015-01-23
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
2015-01-01
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access to scienceSpeedingLightweightand SimulatedIII Contractand
Brodie III, Edmund D.
Homogeneity of the Genetic Variance-Covariance Matrix for Antipredator Traits in Two Natural's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR the discovery and use of these resources. For more information about JSTOR, please contact support
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)
2010-07-15
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
2007-01-01
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
2007-03-06
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
2015-01-01
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
2012-01-01
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...
The effect of stratum thickness ratio on crossflow in a stratified petroleum reservoir
Kereluk, Michael Joseph
1966-01-01
and vi s c ous f or c e s. The mechanism with which this investigation deals is that of viscous crossflow, In a lineas system viscous crossflow results from the difference between the horizontal viscous pressure gradients ahead of and behind a front...
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
Improving Processor Design by Exploiting Performance Variance
Wang, Zhe
2014-07-28
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3.2 Least-squares regression model relating branch prediction to performance. Shows high and low prediction intervals for perfect prediction i.e. 0 MPKI. 32 4.1 System configuration . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 4.2 DDR...
Efficient Cardinality/Mean-Variance Portfolios
2012-03-02
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 ...
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
ESTIMATING THE ASYMPTOTIC VARIANCE WITH BATCH MEANS
Whitt, Ward
Research Stanford University Stanford, CA 943054022 and Ward Whitt AT&T Bell Laboratories Murray Hill, NJ
ESTIMATING THE ASYMPTOTIC VARIANCE WITH BATCH MEANS
Whitt, Ward
Research Stanford University Stanford, CA 94305-4022 and Ward Whitt AT&T Bell Laboratories Murray Hill, NJ
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 Delicious RankADVANCED MANUFACTURINGEnergy BillsNo. 195 -RobSSL IN PRACTICERENEWABLE ENERGY PROJECTS ANDSUREFACT
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
A computer program for maximum likelihood estimation of variance components
Hays, John Howard
1967-01-01
'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...
Optimizing inventory levels using financial, lifecycle and forecast variance data
Hwang, Irene S
2007-01-01
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 ...
Procedures in statistical design and analysis of variance
McGarrah, James Eugene
1957-01-01
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...
Fast minimum variance wavefront reconstruction for extremely large telescopes
Eric Thiebaut; Michel Tallon
2010-03-01
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.
A Clock Synchronization Strategy for Minimizing Clock Variance...
Office of Scientific and Technical Information (OSTI)
Type: Conference Resource Relation: Conference: SBAC PAD 2010, Rio De Janeiro, Brazil, 20101027, 20101030 Research Org: Oak Ridge National Laboratory (ORNL) Sponsoring Org:...
How to measure redshift-space distortions without sample variance
Patrick McDonald; Uros Seljak
2008-10-02
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.
Scalable Ensemble Learning and Computationally Efficient Variance Estimation
LeDell, Erin
2015-01-01
benchmarks/releases/tag/big-data-handbook. [53] Erin LeDell.prohibitive in the era of “big data. ” The computa- tionalscaling the Super Learner to big data. In Chapter 2, we use
Variance bounds for estimators in autoregressive models with constraints
Wefelmeyer, Wolfgang
&M University Anton Schick Binghamton University Wolfgang Wefelmeyer Universit¨at zu K¨oln Abstract We consider), Koul and Schick (1997) and Schick (2001). For regression models Yi = r(Xi) + i, corresponding results are in Schick (1993). We follow their approach in our model (1.3) with restrictions on T. We consider
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
Treatability Variance Petition for SRS Raschig Ring Packing Material
Hagstrom, T.
1999-08-31
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.
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
Permits and Variances for Solar Panels, Calculation of Impervious Cover |
Broader source: Energy.gov (indexed) [DOE]
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Hawaii Application for Community Noise Variance (DOH Form) | Open Energy
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Hawaii Guide for Filing Community Noise Variance Applications | Open Energy
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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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach HomeA Better AnodeThe Influence of Clouds,convection defined by the MSG multi-channeluncovercloudshallow
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnicalInformation4563 LLNL Small-scaleCoherent Light SourceA Brief Casein High-end
Chernikova, Dina; Pazsit, Imre; Pal, Lenard
2014-01-01
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 an...
Beex, A. A. "Louis"
Engineering in 1985 from Bandung Institute of Technology, Bandung, Indonesia, and his Master of Science degree
A BASIS FOR MODIFYING THE TANK 12 COMPOSITE SAMPLING DESIGN
Shine, G.
2014-11-25
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.
Farnham, Tiffany Talley
2005-02-17
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 ...
EVMS Training Snippet: 5.4 PARSII Analysis: Variance Reports | Department
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 DeliciousMathematicsEnergy HeadquartersFuelB IMS Monthly Review EVMS Training Snippet: 3.1B IMS6Department ofof
Further examination of multiple systematic sources of variance in assessment center ratings
Maldegen, Robyn Marie
1996-01-01
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...
Partitioning of Phenotypic Variance in Life-history Traits in the Great Tit, Parus major
Browne, William J.
; (4) A large proportion of the variation seems to be due to effects that may represent the stochastic (+) 207 449 6693 Fax (+) 207 586 1457 Running head: Sources of Phenotypic Variation in Reproductive Traits #12;A characteristic of all individual-based population studies is the large variation between
No-migration variance petition. Appendices C--J: Volume 5, Revision 1
Not Available
1990-03-01
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.
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.
2015-05-05
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
A general purpose program for the analysis of variance and the complete analysis of covariance
Strange, James Reid
1967-01-01
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...
The Production and Dissipation of Compensated Thermohaline Variance by Mesoscale Stirring
Ferrari, Raffaele
Temperature–salinity 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 ...
No-migration variance petition. Volume 3, Revision 1: Appendix B, Attachments A through D
Not Available
1990-03-01
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.
Can investor profit from the daily timing strategy? Average Stock Variance and Market Returns
Fournier, John J.F.
we explore the forecasting power on industry classification portfolios other than the market. Further-Series Trading Strategy...........................................10 3.1 Trading Strategies.............................................22 4.2 Volatility of Assets and Speculative Bubbles............................22 4.3 Non-Traded
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
TRAJECTORY TRAINING CONSIDERING GLOBAL VARIANCE FOR HMM-BASED SPEECH SYNTHESIS
Duh, Kevin
but the static feature vector sequence [2]. Finally a vocoding technique is employed for generating a speech wave Young Graduate School of Information Science, Nara Institute of Science and Technology (NAIST), Japan synthesis. The primary goal of HMM parameter optimization is to ensure that parameters generated from
No-migration variance petition. Appendix B, Attachments E--Q: Volume 4, Revision 1
Not Available
1990-03-01
Volume IV contains the following attachments: TRU mixed waste characterization database; hazardous constituents of Rocky flats transuranic waste; summary of waste components in TRU waste sampling program at INEL; total volatile organic compounds (VOC) analyses at Rocky Flats Plant; total metals analyses from Rocky Flats Plant; results of toxicity characteristic leaching procedure (TCLP) analyses; results of extraction procedure (EP) toxicity data analyses; summary of headspace gas analysis in Rocky Flats Plant (RFP) -- sampling program FY 1988; waste drum gas generation--sampling program at Rocky Flats Plant during FY 1988; TRU waste sampling program -- volume one; TRU waste sampling program -- volume two; and summary of headspace gas analyses in TRU waste sampling program; summary of volatile organic compounds (V0C) -- analyses in TRU waste sampling program.
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
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
The Impact of Sampling Methods on Bias and Variance in Stochastic ...
2006-10-04
For eight test problems from the literature, we ...... consider two of the eight problems here. Results from ..... Research Services Group at Penn State. References.
A Mean-Variance Disaster Relief Supply Chain Network Model for Risk Reduction
Nagurney, Anna
of Management University of Massachusetts Amherst, Massachusetts 01003 2Department of Electrical and Computer, Nigeria, the US and Mali. The total number of reported cases is more than 27,275. This isAnna and Ladimer
Balasubramanian, Vijay
2007-04-25
variations, which have increased the variation in good-chip quiescent current and consequently reduced the effectiveness of IDDQ testing. This research proposes the use of a multivariate statistical technique known as principal component analysis...
Ito-Wiener chaos expansion with exact residual and correlation, variance inequalities
Hu, Yaozhong
1997-10-01
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...
Estimating the error variance in nonparametric regression by a covariate-matched U-statistic
Wefelmeyer, Wolfgang
U. M¨uller, Anton Schick, and Wolfgang Wefelmeyer Abstract. For nonparametric regression models@mathematik.uni-siegen.de. 1 #12;2 URSULA U. M¨ULLER, ANTON SCHICK, AND WOLFGANG WEFELMEYER Alternatively, we could use¨uller, Schick and Wefelmeyer (2001) show that, more precisely, Hall and Marron's estimator is stochastically
No-migration variance petition. Appendices A--B: Volume 2, Revision 1
Not Available
1990-03-01
Volume II contains Appendix A, emergency plan and Appendix B, waste analysis plan. The Waste Isolation Pilot Plant (WIPP) Emergency plan and Procedures (WP 12-9, Rev. 5, 1989) provides an organized plan of action for dealing with emergencies at the WIPP. A contingency plan is included which is in compliance with 40 CFR Part 265, Subpart D. The waste analysis plan provides a description of the chemical and physical characteristics of the wastes to be emplaced in the WIPP underground facility. A detailed discussion of the WIPP Waste Acceptance Criteria and the rationale for its established units are also included.
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)
2010-12-15
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.
A column based variance analysis approach to static reservoir model upgridding
Talbert, Matthew Brandon
2008-10-10
number of layers is then selected based on an analysis resulting in a minimum loss of heterogeneity. We demonstrate the validity of the optimal gridding by applying our method to a history matched waterflood in a structurally complex and faulted... distribution ............................................ 19 9 81 layer model, Sand A permeability distribution ..................................... 20 10 81 layer model, Sand B permeability distribution ...................................... 20...
"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 Aďt is for (nonparametrically) estimating certain quantities on the basis of high frequency data. The rationale
Hawaii Variance from Pollution Control Permit Packet (Appendix S-13) | Open
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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)
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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are4BElectron---neutrinoAAA G EAA
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 Home PageBlenderBusiness Case forbutton highlighted BrakingIdling
Teich, Malvin C.
-nerve spike trains exhibit fractal behavior, and therefore traditional renewal-point-process models fail not renewal, and RMP models cannot properly describe them Teich, 1992 . Rather, a de- scription of the nerve Acoustical Society of America. PACS numbers: 43.64.Pg, 43.64.Bt INTRODUCTION The mathematical model that has
Fischer, N.T.
1990-03-01
This document reports data collected as part of the Ecological Monitoring Program (EMP) at the Waste Isolation Pilot Plant near Carlsbad, New Mexico, for Calendar Year 1987. Also included are data from the last quarter (October through December) of 1986. This report divides data collection activities into two parts. Part A covers general environmental monitoring which includes meteorology, aerial photography, air quality monitoring, water quality monitoring, and wildlife population surveillance. Part B focuses on the special studies being performed to evaluate the impacts of salt dispersal from the site on the surrounding ecosystem. The fourth year of salt impact monitoring was completed in 1987. These studies involve the monitoring of soil chemistry, soil microbiota, and vegetation in permanent study plots. None of the findings indicate that the WIPP project is adversely impacting environmental quality at the site. As in 1986, breeding bird censuses completed this year indicate changes in the local bird fauna associated with the WIPP site. The decline in small mammal populations noted in the 1986 census is still evident in the 1987 data; however, populations are showing signs of recovery. There is no indication that this decline is related to WIPP activities. Rather, the evidence indicates that natural population fluctuations may be common in this ecosystem. The salt impact studies continue to reveal some short-range transport of salt dust from the saltpiles. This material accumulates at or near the soil surface during the dry seasons in areas near the saltpiles, but is flushed deeper into the soil during the rainy season. Microbial activity does not appear to be affected by this salt importation. Vegetation coverage and density data from 1987 also do not show any detrimental effect associated with aerial dispersal of salt.
Poli, Riccardo
of the particle swarm optimizer (PSO). In this paper we introduce a novel method that allows us to exactly determine all the characteristics of a PSO sampling distribution and explain how it changes over any number to the PSO with inertia weight, but the analysis is also valid for the PSO with constriction and other forms
Liu, Gangjun; Chou, Lidek; Jia, Wangcun; Qi, Wenjuan; Choi, Bernard; Chen, Zhongping
2011-01-01
OCT system. A microelectromechanical systems (MEMS) basedsituation. A microelectromechanical systems (MEMS) based
Liu, Gangjun; Chou, Lidek; Jia, Wangcun; Qi, Wenjuan; Choi, Bernard; Chen, Zhongping
2011-01-01
domain OCT system. A microelectromechanical systems (MEMS)instable situation. A microelectromechanical systems (MEMS)
Liu, Gangjun; Chou, Lidek; Jia, Wangcun; Qi, Wenjuan; Choi, Bernard; Chen, Zhongping
2011-01-01
system. A microelectromechanical systems (MEMS) based sweptsituation. 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
Bringing it all to the table : examining variance in strategic approaches within the six-party talk
Zahorchak, Jason M
2009-01-01
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 ...
Rosencranz, Jordan Alexander
2012-01-01
creek and marsh stratum on sediment deposition. Error barsBorgnis. 2009. Dynamics of sediment accumulation in Pond A21Vegetation on Suspended Sediment, Yangtze Delta. Journal of
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)
2011-06-01
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.
Lawrence, Rick L.
into returns for an entire farm. Our representative farm consists of 1,500 acres with machinery, labor chickpeas presents a higher risk/higher reward option. This higher risk stems from additional production risk and marketing risks. We also find that the agronomic benefits to wheat production from
Harris, Thomas J.
.T. Seppala and D.W. Bacon Department of Chemical Engineering, Queen's University Kingston, ON Canada August
Schonfeld, Dan
of the error between the true state and estimated state and use rate-distortion theory to determine the optimal to evaluate the proposed video tracking system and demonstrate its utility for target tracking in numerical- ment of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL 60607
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 ...
Craiu, V. Radu
global posi- tioning system (GPS) collars generates a data stratum composed of m = 2 visited locations to longitudinal data composed of clusters of matched case-control strata. The estimation of model parameters by maximum like- lihood is especially difficult when the number of cases per stratum is greater than one
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)
2014-10-20
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)
1987-01-01
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.
U.S. Energy Information Administration (EIA) Indexed Site
File02: (file02cb83.csv) BLDGID2 Building ID STR402 Half-sample stratum PAIR402 Half-sample pair number SQFTC2 Square footage SQFTC17. BCWM2C Principal activity BCWOM25....
Ghosh, Saswata
2007-01-01
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
1972-01-01
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...
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
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
Author's personal copy The distribution and behaviour of Patiriella mortenseni and P. regularis in
Russell, Michael P.
(Low Salinity Layer = LSL) on top of marine (34) water. The relative depth of the LSL varies both the near-freshwater stratum on the surface from the marine waters below. This low salinity layer (LSL to organisms found in shallow water. A series of transects in Doubtful Sound and the more northern Milford
Nally, Deseri 1975-
2011-04-29
sites were identified below the dam using high radar LIDAR digital elevation modeling. Soils were collected from each stratum to a depth of 50 cm using a stratified random approach. Distinct patterns were observed in regards to the pH, redox, Ferrous...
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
METHODOLOGICAL REPORT MICHIGAN STATE UNIVERSITY
Riley, Shawn J.
. The only exception to this was that the Committee wished to sample the city of Detroit as a stratum, Wayne [excluding Detroit]) 7. Detroit City #12;iv REGION Number of Cases Margin of Sampling Error Upper.9% Southwest 108 + 9.5% Southeast 271 + 6.0% Detroit 120 + 9.0% Statewide Total 1,001 + 3.1% As a result
674 BULLETIN OF THE BUREAU OF FISHERIES FACTORS GOVERNING THE TEMPERATURE OF THE
thin surface stratum of the sea is.warmed by direct solar radiation. Further transference of the heat by the sun's rays, and cooling by the radiation of heat from the water to the air in autumn and winter. Added to all of which the temperature at any given depth, date, and local- ity depends to a large degree
Niileksela, Christopher Robert
2012-05-31
--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...
MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser
Pawlik, Joseph
MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser Vol. 224: 103114, 2001 Published December 19 process: solitary larvae first colonize a suitable but previously uninhabited sub- stratum; gregarious the conditions under which larvae of a gregarious species colonize new habitats. We first confirmed
ORIGINAL PAPER Response properties of visual neurons in the turtle nucleus isthmi
Wessel, Ralf
response properties, together with the modulatory role of the Ipc in tectal visual processing, suggest Isthmi pars parvocellularis PBN Parabigeminal nucleus RGC Retinal ganglion cell SFGS Stratum fibrosum et. 2007; Caudill et al. 2010) that influences visual processing by direct modula- tion of tectal circuits
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
Dubose, Lawrence A.
1956-01-01
information across genes. However, even with such accommodations, variance may be initiated by the presence of outliers. For our second study, we propose a robust modification of optimal shrinkage variance estimation to improve outlier detection. In order...
Mixture Modeling and Outlier Detection in Microarray Data Analysis
George, Nysia I.
2010-01-16
information across genes. However, even with such accommodations, variance may be initiated by the presence of outliers. For our second study, we propose a robust modification of optimal shrinkage variance estimation to improve outlier detection. In order...
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
Cain, Nathan Jackson
1952-01-01
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...
A comparison of silage and grain yields of four corn hybrids at three locations in Texas
Martelino, Rafael Agcaoili
1954-01-01
TABLES Page 20 31 Analysis of variance of silage yields at Temple Analysis of variance of grain yields at Temple . Analysis of varianoe of lodging percentage at Temple. . . ~ 12 o ~ 12 ~ i 13 4, 5 ~ 6, 70 Silage yield, grain yield... and lodging percentage of four oorn bybrids and three spaoings, Temple . Analysis of variance of silage yields at Tyler . Analysis of varianoe of grain yields at Tyler Analysis of variance oi' lodging peroemtage at Tyler 13 16 16 ~ 0 17 Silage yield...
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
Schick, Anton
variance in nonparametric regression Jichang Du and Anton Schick Department of Mathematical Sciences. They also possess superior bias properties at the expense of larger variances. M¨uller, Schick 2 J. Du and A. Schick If the regression function were known, we could estimate the error variance 2
MOMENT METHODS FOR EXOTIC VOLATILITY DERIVATIVES
Albanese, Claudio
views. A basic contract is the variance swap which upon expiry pays the difference between a standard differs from the standard variance swap only in that the underlyings price must be inside a specified. A variance knockout can be regarded as a variation on the theme of barrier knock- out options whereby
Moore, William
2015-07-24
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...
Instrumental Variable Analysis with a Nonlinear Exposure–Outcome Relationship
Burgess, Stephen; Davies, Neil M.; Thompson, Simon G.
2014-08-27
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...
Parameters’ Covariance in Neutron Time of Flight Analysis – Explicit Formulae
Odyniec, M.; Blair, J.
2014-12-01
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.
Information Technology, Organizational Learning, and the Market Value of the Firm
Hunter, Starling David, III
2003-08-22
This paper compares the mean and variance of cumulative abnormal returns following announcements of two types of information technology (IT) investments: those which ...
Microsoft PowerPoint - LANL Student Symposium Poster.pptx
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
the least contribution of NO 2- , NO 3- and OP and control will have the highest. Results Analysis of Variance (ANOVA) was conducted to determine statistically significant...
Yang, Insoon
2015-01-01
is to reformulate the inequality constraints on the mean andwith several types of linear inequality con- straints arecondition (2.13) is an inequality constraint on the variance
Brooks, Ian M.
with altitude, from less than 10% at 30 m to more than 70% at the top of the BL. The variance in and crosswind
Nottrott, Anders Andelman
2014-01-01
of SGS model and grid resolution on horizontal crosswind37 Self-similarity of horizontal crosswind profiles of mean39 Crosswind horizontal profiles of concentration variance
The effect of joint scheduling and diversity on a multi- user wireless communication system
Hur, Seong-Ho
2011-01-01
multiplexing: Exact variance and outage approximation,” IEEEA. Assalini, “Maximizing outage capacity of OFDM transmitMadhow, “Characterizing outage rates for space-time commu-
Essays on energy and environmental policy
Novan, Kevin Michael
2012-01-01
Environmental Impacts of Electricity Demand Variance, NBERVariables on Monthly Electricity Demand, IEEE Transac- tionsfact that the short-run electricity demand is essen- tially
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
Module 6 - Metrics, Performance Measurements and Forecasting...
Broader source: Energy.gov (indexed) [DOE]
the metrics and performance measurement tools used in Earned Value. This module reviews metrics such as cost and schedule variance along with cost and schedule performance indices....
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
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
TITLE AUTHORS SUBJECT SUBJECT RELATED DESCRIPTION PUBLISHER AVAILABILI...
Office of Scientific and Technical Information (OSTI)
and variance that was accurate within for all variables except atmospheric pressure wind speed and precipitation Correlations between downscaled output and the expected...
"Title","Creator/Author","Publication Date","OSTI Identifier...
Office of Scientific and Technical Information (OSTI)
and variance that was accurate within 1% for all variables except atmospheric pressure, wind speed, and precipitation. Correlations between downscaled output and the expected...
Fuel cell stack monitoring and system control
Keskula, Donald H.; Doan, Tien M.; Clingerman, Bruce J.
2004-02-17
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.
Tax Credits, Rebates & Savings | Department of Energy
Broader source: Energy.gov (indexed) [DOE]
(Small), Anaerobic Digestion, Fuel Cells using Renewable Fuels Permits and Variances for Solar Panels, Calculation of Impervious Cover In May 2012, Maryland enacted legislation...
Tax Credits, Rebates & Savings | Department of Energy
Broader source: Energy.gov (indexed) [DOE]
Insulation, Windows, Wind (Small), Geothermal Direct-Use Permits and Variances for Solar Panels, Calculation of Impervious Cover In May 2012, Maryland enacted legislation...
Sarada
2011-01-01
self-employment consumption . . . . . . . . . . . . . . . . .Table 1.8: Variance in Consumption Self Employed SE/Tenurebetween reported wage and consumption for the self-employed.
The Unobserved Returns to Entrepreneurship
Sarada, FNO
2010-01-01
Consumption Regressions FE Consumption Self Employed Currentreported wage and consumption for the self- employed,that the variance in consumption while self- employed is not
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...
Essays on the household-level effects of house price growth
Sitgraves, Claudia Ayanna
2009-01-01
Constructing measures of house price variance . . . . 2.4.4Flip That House? House Price Dynamics and Housing InvestmentHouse Price Data . . . . . . . . . . . . . . . . . . . . .
Sub-daily Statistical Downscaling of Meteorological Variables...
Office of Scientific and Technical Information (OSTI)
and variance that was accurate within 1% for all variables except atmospheric pressure, wind speed, and precipitation. Correlations between downscaled output and the expected...
Evaluation of three lidar scanning strategies for turbulence measurements
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Newman, J. F.; Klein, P. M.; Wharton, S.; Sathe, A.; Bonin, T. A.; Chilson, P. B.; Muschinski, A.
2015-11-24
Several errors occur when a traditional Doppler-beam swinging (DBS) or velocity–azimuth display (VAD) strategy is used to measure turbulence with a lidar. To mitigate some of these errors, a scanning strategy was recently developed which employs six beam positions to independently estimate the u, v, and w velocity variances and covariances. In order to assess the ability of these different scanning techniques to measure turbulence, a Halo scanning lidar, WindCube v2 pulsed lidar and ZephIR continuous wave lidar were deployed at field sites in Oklahoma and Colorado with collocated sonic anemometers. Results indicate that the six-beam strategy mitigates somemore »of the errors caused by VAD and DBS scans, but the strategy is strongly affected by errors in the variance measured at the different beam positions. The ZephIR and WindCube lidars overestimated horizontal variance values by over 60 % under unstable conditions as a result of variance contamination, where additional variance components contaminate the true value of the variance. A correction method was developed for the WindCube lidar that uses variance calculated from the vertical beam position to reduce variance contamination in the u and v variance components. The correction method reduced WindCube variance estimates by over 20 % at both the Oklahoma and Colorado sites under unstable conditions, when variance contamination is largest. This correction method can be easily applied to other lidars that contain a vertical beam position and is a promising method for accurately estimating turbulence with commercially available lidars.« less
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
PROBLEM SET 3/Quiz prep Ocean Math OC569A P.B. Rhines out: Sat. 30 Nov.
) indicates variance(k) proportional to wavenumber or frequency to the -n power. In 4. the potential to check your result. Describe the variance spectrum, |F(k)|2 and its power law, comparing with that of the periodic square wave found in lectures. 2. The fundamental mode of a vibrating string, which extends from x
Schierup, Mikkel Heide
axes of variation in humans. (marker dependent) Proportion of (marker dependent) variance explained largest axes of variation in wheat. Two rightmost figures: first vs second and third vs second largest of genomic heritability (y- axis) computed using REPMOD after accounting for the proportion of variance due
Journal of Statistical Planning and Inference 136 (2006) 19111922
Zhang, Li-Xin
2006-01-01
, 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
Evaluation and heritability of ergot resistance derived from sorghum germplasm IS8525.
Mateo Moncada, Rafael Arturo
2004-09-30
, and ergot incidence for both populations.?????.?????.????..???????..???? 32 2 Expected mean squares and degrees of freedom for the combined analysis of variance on ergot vulnerability, ergot severity, and ergot incidence for both populations.....????????????..?..?????????.???. 33 3 Pearson?s correlation coefficients among ergot vulnerability, ergot severity and ergot incidence??????.??.???????????????.. 36 4 Calculated mean squares for the combined analysis of variance on ergot vulnerability, ergot severity...
Case Study: Modeling the Lateral Mobility of the Rio Grande below Cochiti Dam, New Mexico
Julien, Pierre Y.
Case Study: Modeling the Lateral Mobility of the Rio Grande below Cochiti Dam, New Mexico Gigi A, lateral migration, and total lateral movement. By 2001, the width of the Cochiti Reach was close width, 7890% of variance in migration rates, and 92% of the variance in total lateral movement between
Multiple Contributors
1982-01-01
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...
Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary
Tomasi, Carlo
Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary.hendargo@duke.edu Abstract: Variance processing methods in Fourier domain optical coherence tomography (FD-OCT) have enabled demonstrate a method to eliminate motion artifacts in speckle variance FD-OCT images of the retinal
A Hybrid (Monte-Carlo/Deterministic) Approach for Multi-Dimensional Radiation Transport
Guillaume Bal; Anthony Davis; Ian Langmore
2011-05-07
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
2011-01-01
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 dry electrophysiology electrode using CNT arrays
Ruffini, G; Farres, E; Grau, C; Marco-Pallares, J; Mendoza, Eric; Ray, C; Silva, R; Dunne, Stephen; Farres, Esteve; Grau, Carles; Marco-Pallares, Josep; Mendoza, Ernest; Ray, Chris; Ruffini, Giulio; Silva, Ravi
2006-01-01
We describe the concept of a dry electrode sensor for biopotential measurement applications (ENOBIO) designed to eliminate the noise and inconvenience associated to the use of electrolytic gel. ENOBIO uses nanotechnology to remove gel-related noise, as well as maintaining a good contact impedance to minimise interference noise. The contact surface of the electrode will be covered with an array/forest of carbon nanotubes and will also be tested with an Ag/AgCl coating to provide ionic-electronic transduction. The nanotubes are to penetrate the outer layers of the skin, the Stratum Corneum, improving electrical contact. We discuss requirements, skin properties, nanotube penetration and transduction, noise sources, prototype design logic and biocompatibility. A future paper will report test results.
Detailed Studies of Hydrocarbon Radicals: C2H Dissociation
Wittig, Curt
2014-10-06
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.
Hsu, Bertrand D. (Erie, PA); Leonard, Gary L. (Schenctady, NY)
1988-01-01
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.
Mixed Layer Lateral Eddy Fluxes Mediated by Air-Sea Interaction
Shuckburgh, Emily
The modulation of air–sea 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 air–sea ...
greedy randomized adaptive search procedure
2003-10-14
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.
Stochastic flow and transport through multifractal porous media
Essiam, Albert K
2001-01-01
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 ...
Steen, Sara Jane
1995-01-01
specific variables to Texas-male hunters. A survey questionnaire was mailed to 2,200 female hunting license purchasers to determine initiation patterns, motivations and constraints. Analysis of variance tests showed significant (P = 0.0001) differences...
Institutionalized attitudes, intentions, and goal perceptions
Alexander, Steven Eric
1994-01-01
management and executive personnel of the Texas Parks and Wildlife Department were sampled using a non-experimental, mail survey design. The variances accounted for by organizational-management goal congruence on organizational commitment, general job...
Essays on the household-level effects of house price growth
Sitgraves, Claudia Ayanna
2009-01-01
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
Improvements and applications of the Uniform Fission Site method in Monte Carlo
Hunter, Jessica Lynn
2014-01-01
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 ...
Review: Logistic regression, Gaussian nave Bayes, linear regression, and their connections
Mitchell, Tom
Review: Logistic regression, Gaussian naďve 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
Lagoo, Nishi
2012-07-16
(PPC) with projected and actual draw (cash) calls. The research analyzes the question of how lean construction PPC captures variance in cost. The research method is based on a literature review, data collection, case study and data interpretation...
Examining the MWEP: further validation of the multidimensional work ethic profile
Hudspeth, Natasha Antoinette
2004-09-30
satisfaction, and organizational commitment. Furthermore, this study investigates the extent to which the MWEP dimensions explained variance in the above mentioned variables over and beyond that which could be explained by conscientiousness and need...
* 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
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
Balewski, Jan T.
We report the first measurements of the moments—mean (M), variance (?[superscript 2]), skewness (S), and kurtosis (?)—of the net-charge multiplicity distributions at midrapidity in Au + Au collisions at seven energies, ...
2013-10-18
the noisy input z, correcting some of the failures of the original thresholding algorithm in .... Indeed, our first task will be to determine precisely, on a mathematical ground, ..... the noise is limited (and obviously, controlled by its variance).
Solar Water Heating Requirement for New Residential Construction
Office of Energy Efficiency and Renewable Energy (EERE)
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...
Vaidyanathan, Vidya
2009-05-15
) Evaluating the two methods in terms of their ability to identify bi-modal samples. A secondary purpose of this research was to investigate the effect of refrigerated plasma storage on particle diameter. Reproducibility was measured as Coefficient of Variance...
Li, Quan
2009-05-15
differences among panels represented by their median judges. I contend that increasing ideological heterogeneity within an appellate court measured by its ideological variance among judges increases institutional uncertainty with respect to the bureaucracy...
Felderhoff, Terry
2012-10-19
of Florida). vii NOMENCLATURE ANOVA Analysis of variance BLUP Best linear unbiased predictor CIM Composite interval mapping CS College Station, Texas IM Interval mapping NIRS Near-infrared spectroscopy RCBD Randomized complete block design...
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 ...
Math 519 – B. Davis Qualifying Examination January, 2011 Do not ...
1911-10-10
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.
Modeling aviation's global emissions, uncertainty analysis, and applications to policy
Lee, Joosung Joseph, 1974-
2005-01-01
(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 ...
Aguirre, Vincent Phillip
2014-12-12
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 ...
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 ...
Geiser, Saul; Maria Veronica Santelices
2007-01-01
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
IT adoption in hospitals : social networking, governance and the clockspeed of change
Samarth, Chandrika N. (Chandrika Nayantara)
2007-01-01
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 ...
Xu, Zao
We present a numerical study of the near-surface underwater solar light statistics using the state-of-the-art Monte Carlo radiative transfer (RT) simulations in the coupled atmosphere-ocean system. Advanced variance-reduction ...
Development of electronic nose for measurement of agricultural odors
Bausch, Carrie Lynn
2000-01-01
. Finally, sensor response and variance was also observed to understand the manner in which a large dimensional model can be reduced without losing qualitative data. Taguchi sensors 824 and 815 showed the best correlation to concentration increases...
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
Schmid, Peter John
1998-01-01
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...
Longenberger, Polly Suzanne
2009-05-15
and irrigated conditions at Lubbock, TX in 2006 ................................................... 90 45 Variance analysis for short fiber content (%) of 19 cotton genotypes grown under dryland and irrigated conditions at College Station, TX in 2005...
Elkton-Wilmington folio ; Maryland-Delaware-New Jersey-Pennsylvania
Bascom, F. (Florence), 1862-1945.; Miller, Benjamin L. (Benjamin LeRoy), 1874-1944.
1920-01-01
A major challenge faced by project managers is balancing the variables of scope, cost, and schedule. Changes in scope usually result in cost/schedule overruns. Variance in either or both of them creates disorder (typically ...
Carrier genotype determination in Salers cattle using lymphocyte Beta-mannosidase activity
Collins, Julianne Shea
1994-01-01
or Simmental breeding reduced enzyme activity. Lymphocyte genotype means were closer together and variances were larger than those for plasma activity in a United States sample suggesting that the lymphocyte test has less power than the plasma enzyme test...
Panel data models with nonadditive unobserved heterogeneity : estimation and inference
Lee, Joonhwan
2014-01-01
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 ...
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
The Politics of Oil Nationalizations
Mahdavi, Paasha
2015-01-01
Markus Br¨ uckner. 2012. “Oil Rents, Corruption, and Statewithin-country variance in oil rents and their effects onshift in the capture of oil rents – but I show why more work
Galtchouk, Leonid
2008-01-01
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.
Sharp non-asymptotic oracle inequalities for nonparametric heteroscedastic regression models
Galtchouk, Leonid
2010-01-01
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
Fuel cell stack monitoring and system control
Keskula, Donald H.; Doan, Tien M.; Clingerman, Bruce J.
2005-01-25
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.
Observational and Numerical Modeling Studies of Turbulence on the Texas-Louisiana Continental Shelf
Zhang, Zheng
2013-05-24
), dissipation rate of temperature variance (?), eddy diffusivity of temperature (?'t), and eddy diffusivity of density (?'p). Numerical models were also applied to test their capability of simulating these turbulence quantities. At site D, TKE, E, and ? were...
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 ...
Rational plunging and the option value of sequential investment : the case of petroleum exploration
Smith, James L.
2006-01-01
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 ...
Research article Measuring natural selection on proportional traits
Stinchcombe, John
Research article Measuring natural selection on proportional traits: comparisons of three types differentials and gradients for a unique and biologically important class of traits: proportional traits between unstandardized and variance-standardized selection gradients for proportional traits
ForPeerReview Bayesian Hierarchical Model for Large-Scale
Hero, Alfred O.
. The traditional approaches tend to give rise to high variance and low accuracy due to "overfitting". We cast of the covariance matrix via shrinkage combined with analytic determination of the shrinkage intensity according
Wang, Xiaoxue
2009-05-15
(REML) algorithm were used to estimate variance components associated with dam, sire, and dam x sire interaction effects. Dam and sire effect on juvenile growth (weight, length and growth rates) were significant, whereas dam by sire interaction effect...
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
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
Wolfe, Monica Eileen
2006-04-12
and Prorated Scores for Missing Data ............................................................. 79 Summary of Group Differences across Domain Scores........... 81 Variance Accounted for by Domain Scores ............................ 83... Factor Analyses........................................... 90 Model Generation ........................................................... 94 Group Differences with Improved Model........................ 98 V SUMMARY AND DISCUSSION...
Osagie, Andree O.
2009-05-15
was used to answer the questions posed. A mixed-model analysis of variance (ANOVA) was employed to analyze school and student level differences between the percentage of minority students in a school and the academic outcomes. Specifically, the reading...
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
Frankel, Kurt L.
Author's personal copy Beryllium-10 terrestrial cosmogenic nuclide surface exposure dating Terrestrial cosmogenic nuclides Optically stimulated luminescence Alluvial fans Shore lines Lake Manly nuclide (TCN) surface exposure methods in Death Valley. The 10 Be TCN ages show considerable variance
O'Keeffe, Jamie
2015-10-01
and constraining environmental factors, which depending on geographic variance, combine to form the respective environmental niches for pine and palm. Deductive analysis identified the environmental niches for both species and these were tested using the historical...
Higher Moments of Net Proton Multiplicity Distributions at RHIC
Balewski, Jan T.
We report the first measurements of the kurtosis (? [kappa]), skewness (S), and variance (? [sigma] [superscript 2]) of net-proton multiplicity (N [subscript p]-N [subscript p?] ) distributions at midrapidity for Au+Au ...
LATENT AND SENSIBLE HEAT FLUX PREDICTIONS FROM A UNIFORM PINE FOREST USING SURFACE RENEWAL AND FLUX
Oren, Ram
VARIANCE METHODS GABRIEL KATUL'v2,CHENG-I HSIEH', RAM OREN',3, DAVID ELLSWORTH'14andNATHAN PHILLIPS, Duke University, Durham, NC 27708 U.S.A. 3Jet Propulsion Laboratory. California Institute of Technology
Energy, water, and broad-scale geographic patterns of species richness
2003-01-01
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
Unknown
2006-01-01
socioeconomic. Additionally, there was a need to determine if academic optimism is simply a product of school context or if there is additional variance left to be explained by psychosocial interactions within schools. Therefore, the intent of this study...
BusBuzzard and WideWorld : decreasing the uncertainty of multimodal transportation
Martin-Anderson, Brandon
2014-01-01
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 ...
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)
2011-07-15
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.
Modeling covariance structure in unbalanced longitudinal data
Chen, Min
2009-05-15
-effects models: average maximum likelihood estimators and Monte Carlo standard deviations from the true model and five scenarios considered in the simulation study. . 55 ix LIST OF FIGURES FIGURE Page 1 Fitted log-innovation variances and generalized... autoregressive pa- rameters for the fixed-effects model with 10% of the cattle data missing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 2 Fitted log-innovation variances and generalized autoregressive pa- rameters for the fixed...
Certain antibiotics in the experimental formation of urinary calculi in fattening lambs
Robbins, Joe Dennis
1959-01-01
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
1978-01-01
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
1965-01-01
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...
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
Effect of age and concentration of sperm on conception rate and litter size in swine
Licon Quintero, Mario Alberto
1971-01-01
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...
Sex Differences in Otoacoustic Emissions to Examine Underlying Cochlear Mechanisms
Williams, Joshua
2011-04-01
the cochlear mechanism contributing to the DPOAE to the distortion mechanism using an approach we have used previously (Johnson et al., 2006, 2007). Analyses Analysis of variance was used to interpret the data statistically for the main effect of sex... the cochlear mechanism contributing to the DPOAE to the distortion mechanism using an approach we have used previously (Johnson et al., 2006, 2007). Analyses Analysis of variance was used to interpret the data statistically for the main effect of sex...
Bao, Jie; Chu, Yanjun; Xu, Zhijie; Tartakovsky, Alexandre M.; Fang, Yilin
2014-02-02
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 distribution’s 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.?
Veil, J.A.; VanKuiken, J.C.; Folga, S.; Gillette, J.L.
1993-01-01
Many power plants discharge large volumes of cooling water. In some cases, the temperature of the discharge exceeds state thermal requirements. Section 316(a) of the Clean Water Act (CWA) allows a thermal discharger to demonstrate that less stringent thermal effluent limitations would still protect aquatic life. About 32% of the total steam electric generating capacity in the United States operates under Section 316(a) variances. In 1991, the US Senate proposed legislation that would delete Section 316(a) from the CWA. This study, presented in two companion reports, examines how this legislation would affect the steam electric power industry. This report quantitatively and qualitatively evaluates the energy and environmental impacts of deleting the variance. No evidence exists that Section 316(a) variances have caused any widespread environmental problems. Conversion from once-through cooling to cooling towers would result in a loss of plant output of 14.7-23.7 billion kilowatt-hours. The cost to make up the lost energy is estimated at $12.8-$23.7 billion (in 1992 dollars). Conversion to cooling towers would increase emission of pollutants to the atmosphere and water loss through evaporation. The second report describes alternatives available to plants that currently operate under the variance and estimates the national cost of implementing such alternatives. Little justification has been found for removing the 316(a) variance from the CWA.
System level analysis and control of manufacturing process variation
Hamada, Michael S.; Martz, Harry F.; Eleswarpu, Jay K.; Preissler, Michael J.
2005-05-31
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)
1991-06-01
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.
Statistical Analysis of Tank 5 Floor Sample Results
Shine, E. P.
2013-01-31
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
2014-10-08
The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program’s 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.
Dust size distribution and concentrations with cottonseed oil mills
Wiederhold, Lee Roy
1976-01-01
-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 the heritability of factors related to heat tolerance in cattle
Bailey, Curtiss Merkel
1954-01-01
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...
SUPERIMPOSED MESH PLOTTING IN MCNP
J. HENDRICKS
2001-02-01
The capability to plot superimposed meshes has been added to MCNP{trademark}. MCNP4C featured a superimposed mesh weight window generator which enabled users to set up geometries without having to subdivide geometric cells for variance reduction. The variance reduction was performed with weight windows on a rectangular or cylindrical mesh superimposed over the physical geometry. Experience with the new capability was favorable but also indicated that a number of enhancements would be very beneficial, particularly a means of visualizing the mesh and its values. The mathematics for plotting the mesh and its values is described here along with a description of other upgrades.
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)
2014-06-15
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.
A Monte Carlo study of some unbiased and approximately unbiased ratio estimators
Beegle, LeNelle Darlene
1966-01-01
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...
Percy, Richard Greer
1979-01-01
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...
Welsh, A. H.; Peterson, A. Townsend; Altmann, Stuart A.
1988-08-01
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...
Forecasting Random Walks Under Drift Instability
Pesaran, M Hashem; Pick, Andreas
will yield a biased forecast but will continue to have the least variance. On the other hand a forecast based on the sub-sample {yTi , yTi+1, . . . , yT }, where Ti > 1 is likely to have a lower bias but could be inefficient due to a higher variance... approach considered in Pesaran and Timmermann (2007) is to use different sub-windows to forecast and then average the outcomes, either by means of cross-validated weights or by simply using equal weights. To this end consider the sample {yTi , yTi+1...
Garcia-Hiraldo, Roberto
1990-01-01
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...
Stidham, Paul Emery
1980-01-01
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...
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
2015-04-08
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.
Portable measurement system for soil resistivity and application to Quaternary clayey sediment
Nakagawa, Koichi; Morii, Takeo
1999-07-01
A simple device to measure electrical resistivity has been developed for field and laboratory use. The measurement system comprises a probe unit, current wave generator, amplified, A/D converter, data acquisition unit with RS-232C interface and notebook personal computer. The system is applicable to soils and soft rocks as long as the probe needles can pierce into them. Frequency range of the measurement system extends from 100 Hz to 10 MHz. The total error of the system is less than 5%. In situ measurements of the resistivity and shear resistance by means of pocket-sized penetrometer were applied to Pleistocene clayey beds. Some laboratory tests were also conducted to examine the interpretation of the in situ resistivity. Marine and non-marine clayey sediments are different in their resistivities of the stratum by in situ test and the clay suspension sampled from the strata. Physical and mechanical properties were compared with the resistivity and general relationships among them were explored to clarify the characteristics of inter-particle bonding. Some possible mechanism regarding the peculiar weathering of clayey sediment or mudstone beds is discussed from the viewpoint of physico-chemical process, which is conspicuous especially near the ground surface.
The landscape of G-structures in eight-manifold compactifications of M-theory
Babalic, Elena Mirela
2015-01-01
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
2015-05-09
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
2011-11-01
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.
Indian Ocean Dipole Response to Global Warming in the CMIP5 Multimodel Ensemble*
Xie, Shang-Ping
Indian Ocean Dipole Response to Global Warming in the CMIP5 Multimodel Ensemble* XIAO-TONG ZHENG,1 The response of the Indian Ocean dipole (IOD) mode to global warming is investigated based on simu- lations- mospheric feedback and zonal wind variance weaken under global warming. The negative skewness in eastern
Entropy Shows that Global Warming Should Cause Increased Variability in the Weather
John Michael Williams
2001-02-21
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.
Radiation belt electrons respond to multiple solar wind inputs
Radiation belt electrons respond to multiple solar wind inputs E. J. Rigler,1 M. Wiltberger,1 and D is clearly valuable from a practical standpoint, but the latter helps build confidence in any physical on the fractional or percent variance of radiation belt electron flux that can be attributed to each different solar
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)
2014-02-21
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.
Real Time Head Pose Estimation from Consumer Depth Cameras
Wolberg, George
for estimating location and orientation of a person's head, from depth data acquired by a low quality device. OurReal Time Head Pose Estimation from Consumer Depth Cameras Gabriele Fanelli1 , Thibaut Weise2 and the variance of the head position and orientation. We evaluate three different approaches to jointly take
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.
1997-08-01
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.
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
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
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
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
Guaranteed uncertainty management (GUM) for sensor provisioning in missile defense
Hero, Alfred O.
general multiple radar multiple target detection, tracking, and discrimination problems, our motivation of statistical sampling error variance. · Gain G. This is not important unless we wish to account for smart energy. · Mode M of radar. In FTI mode the RCS is different from that of MTI mode. MTI mode contains
The distribution of empirical periodograms: LombScargle and PDM A. Schwarzenberg-Czerny1;2
Schwarzenberg-Czerny, Alex
The distribution of empirical periodograms: LombScargle and PDM spectra A. Schwarzenberg-Czerny1 May 14; in original form 1997 March 4 A B S T R AC T The theoretical probability distributions normalized using the estimated variance, therefore follow a distribution different from that predicted
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
Environmental amenities and disamenities, and housing prices; using GIS techniques
Hwang, Seong-Nam
2004-09-30
Tests for the Residential Property Value Model ............ 118 8.4. Determinants of Residential Property Values ................................................... 122 8.5. Implicit Prices of Property Value Determinants... and Variance Inflation Factors (VIFs) ............................ 119 Table 8-5. Determinants of residential property values ............................................... 125 Table 8-6. Chi-square tests of flood risk and house offer price...
Scientists must be able to assess popu-lation abundance with a high degree
Veer, 1991; Norcross et al., 1999). Until recently, however, few studies have been directed to- ward that minimize the variance in estimates of abundance are needed. Recently, the National Research Council (NRC and survival of marine fish species (Murawski and Finn, 1988; Gadomski and Caddell, 1991; Reichert and van der
and Engineering Research Council of Canada. YIV was supported by a start-up grant to TP from the University in skews of vertebrate lifetime reproductive success are difficult to measure directly. Evolutionary; Kokko et al. 1998, 1999). Variance in LRS may be smaller than expected because mating skews at leks
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.
2005-01-01
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
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
Cycle time variability for a network under two queueing disciplines
Vasquez Pariente, Marta Irene
1996-01-01
A network of three single-server queues is investigated. Performance of two queueing disciplines is compared on the basis of the mean and variance of the network cycle time. The two queueing disciplines are first-in-system first-out (FISFO...
Low-energy behavior of $E2$ strength functions
R. Schwengner
2014-11-04
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.
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
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
Evolution of bright star-forming galaxies in the first billion years
Bowler, Rebecca Alison Andrews
2015-07-01
, and that the stars can be effectively removed by fitting standard stellar spectra to the observed photometry. The galaxy surface density in the UltraVISTA/COSMOS field exceeds that in the UDS/SXDS by a factor of ?1.4, indicating strong cosmic variance between the two...
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
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
Building performance evaluation and certification in the UK
Kelly, Scott; Pollitt, Michael G.; Crawford Brown, Doug
2012-10-04
Solar Hot Water Systems UK United Kingdom U-Value The overall heat transfer coefficient representing the rate of heat transfer through a physical boundary 1219... the variance between estimated and actual energy consumption was caused precisely by the lack of measurement and verification in assigning green credentials. The current paper is novel in its outlook and presents an original critique of building...
Microscopic structure of liquid hydrogen: a neutron diffraction experiment
M. Celli; U. Bafile; G. J. Cuello; F. Formisano; E. Guarini; R. Magli; M. Neumann; M. Zoppi
2002-09-10
We have measured the center-of-mass structure factor S(k) of liquid para-hydrogen by neutron diffraction, using the D4C diffractometer at the Institute Laue Langevin, Grenoble, France. The present determination is at variance with previous results obtained from inelastic neutron scattering data, but agrees with path integral Monte Carlo simulations.
Jack D.Farmer University Kansas
Farmer, Jack D.
of Geology, University of Kansas, Lawrence, 66044 #12;378 Variation in the decora the latter typically accounts for a larger proportion of the total variance than former. Thir to reflect the strong influence understanding of the of variation have been Boardman and 1969; Boardman. and Cook, 1970). Simul- taneously
Collective dynamics of cortical columns and the distribution of dominance periods
Braun, Jochen
Attractor Models Methods First-Passage-Time Distribution (FPTD) Scalar Property Drift Dominated Regime (DDR-order (variance, skewness ...): Scalar Property Double well energy landscape with adaptation Perceptual dynamics is a known stochastic process (Ehrenfest) 0 0.5 1 -12 -10 -8 -6 -4 -2 0 EectiveEnergy X = n N
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
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
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
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
ON DIMENSIONALLY CORRECT POWER LAW SCALING EXPRESSIONS FOR L MODE CONFINEMENT
used to analyse, interpolate, and ex- trapolate tokamak performance 1 13 . Initial e#11;orts variance of the scalings. To model this tokamak to tokamak variation, we treat the scaling di#11;erences Neutral Beam Limiter Con#12;nement Scaling In the random coeĆcient model, we assume that all con#12;nement
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 jardín común para evaluar un rango de car- acterísticas morfológicas y fisiológicas crecimiento a temperaturas calientes y frías, 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
Financial Risk Analysis and Heavy Tails 1 Historical Discussion of Risk and Return
Taqqu, Murad
Financial Risk Analysis and Heavy Tails 1 Historical Discussion of Risk and Return ffl Brief history of financial risk ffl MeanVariance Portfolio Theory by Markowitz ffl Risk and Factor models ffl Value at Risk 2 More on Value at Risk ffl Historical Simulation ffl Parametric VaR -- present different
Financial Risk Analysis and Heavy Tails 1 Historical Discussion of Risk and Return
Taqqu, Murad
Financial Risk Analysis and Heavy Tails 1 Historical Discussion of Risk and Return Brief history of nancial risk Mean-Variance Portfolio Theory by Markowitz Risk and Factor models Value at Risk 2 More on Value at Risk Historical Simulation Parametric VaR present di erent distributional models give overview
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
Switched differential algebraic equations Stephan Trenn
Trenn, Stephan
Switched differential algebraic equations Stephan Trenn Abstract In this chapter an electrical circuit with switches is modeled as a switched differential algebraic equation (switched DAE), i.e. each is the input. The resulting time-variance follows from the action of the switches present in the circuit
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
2009-07-03
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...
Paek, Seunggeun
2006-10-30
sustainability in 31 study areas for the years 1990, 1995 and 2000. Data for this study were drawn from the 1990-2000 censuses and local government publications. Statistical methods such as t-test, analysis of variance and factor analysis were used to answer...
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
. Kutch, Arthur D. Kuo, Anthony M. Bloch and William Z. Rymer You might find this additional information,1,3 Arthur D. Kuo,2 Anthony M. Bloch,1 and William Z. Rymer3 1 Applied and Interdisciplinary ellipses with as little as 30% of force variance directed along those target directions. This is the result
Resampling Methodology in Spatial Prediction and Repeated Measures Time Series
Rister, Krista Dianne
2012-02-14
of an SEM image. . . . . . . . . . . . . . . . . . . . . . . . 56 10 Framework of time time series representation of SEM image. . . . . . 57 11 Approximate values of f(L; ?, ?) for L = 200 for varying values of ?. 63 12 Bootstrap variance estimates... Cor- rected Predictor . . . . . . . . . . . . . . . . . . . . . 20 3. Bias of Predictors . . . . . . . . . . . . . . . . . . . . 21 F. Simulations . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1. Framework...
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
MESOSCALE AVERAGING OF NUCLEATION AND GROWTH MODELS
Ferguson, Thomas S.
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
Plotkin, Steven S.
2002-01-01
: 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
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
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
Journal of Animal Ecology 2006
He, Fangliang
and Macroecology Group, Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK between species of different colonization status. Indeed, virtually all variation about the bivariate distribution, spatial variance, Taylor's power law. Journal of Animal Ecology (2006) 75, 646656 doi: 10.1111/j
Johnston, Mark
focus, virtually nothing is known about the mechanisms responsible for the generation of individual power to detect additive genetic variance in within-season diversification, it was low result--showing that the fitness of an annual and a perennial plant are equal given that the annual
Original Article Proceedings of IDMME -Virtual Concept 2008 Beijing, China, October 8 10, 2008
Theune, Mariët
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
Digital Signal Processing 22 (2012) 407416 Contents lists available at SciVerse ScienceDirect
Candan, Cagatay
2012-01-01
false alarm rate (CFAR) methods use a fixed number of cells to estimate the background variance). environments, the estimator with larger time-constant (which we call as the `slow filter') is utilized for nonhomogeneous environments Berk Gurakan , Çagatay Candan, Tolga Çiloglu Department of Electrical and Electronics
IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Image Sensor Noise Parameter Estimation by
Hesser, Jürgen
IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Image Sensor Noise Parameter Estimation by Variance-independent electric and thermal noise is decreasing [4], and photon noise is becoming the main Copyright (c) 2014 IEEE must be obtained from the IEEE by sending a request to pubs-permissions@ieee.org. This work
DEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS
Hickman, Mark
-month futures crude oil prices, and for prices of gasoline and heating oil traded on the New York Stock Exchange-Variance and Stochastic Dominance Introduction Crude oil is an important commodity for the world economy. With the increasing tension of crude oil price, oil futures have became a popular derivative to hedge against the risk
CE 4990 -Construction Scheduling Integrating Cost and Schedule
) = BCWP/BCWS · Cost Variance (CV) = BCWP - ACWP · Cost Performance Index (CPI) = BCWP/ACWP · EAC = ACWPCE 4990 - Construction Scheduling Integrating Cost and Schedule March 16, 2012 Definitions The goal is to develop integrated metrics for measuring cost and schedule performance. This note provides guidelines
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
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
Khmelenko, Vasiliy
2015-05-01
Temperatures Supply Plenum Leaving Temperature Supply Plenum Enetering Temperature 29 between 0°C and 10 °C, an average of 2.9 Btu/ft2 between 20°C and 30°C, and a peak of 5.9 Btu/ft2 at 37°C. The variance of heat gain at each temperature is smaller at lower...
Effect of gamma radiation on selected functional and physical properties of liquid egg white
Ball, Hershell Ray
1966-01-01
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 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...
Theory of periodically pulsed Feynman-and Rossi-alpha methods Imre Pzsit and Andreas Enqvist
Pázsit, Imre
become interesting with the suggestion of accelerator driven subcritical systems (ADS). For technical@nephy.chalmers.se INTRODUCTION Methods based on the fluctuations in the number of detected neutrons in a subcritical system driven with an extraneous neutron source, such as the variance-to-mean (Feynman-alpha) or the correlation
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
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
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
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
Explore Online: Question-Driven Coral-Reef Monitoring
Mcilwain, Jenny
. Stratification is necessary to avoid the high variance and low power caused by sampling across coral-reef habitats. Yet, knowing when and where to introduce stratification into sampling designs requires populations through time (e.g., detecting changes in fish biomass across In 1998, an unusually strong thermal
Amand Faessler; G. L. Fogli; E. Lisi; V. Rodin; A. M. Rotunno; F. Simkovic
2009-03-06
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.
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
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
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
Department of Statistics MASTER'S THESIS PRESENTATION
Stephens, Matthew
. Firms benefit high reputations and good investor relations from risk controlling. To manage market risk these is Value-at-Risk analysis, known as VaR. This article is designed to give an overview of VaR and illustrate the use of two simulation scenarios (Historical & Monte-Carlo) and variance-covariance method in details
North-South non-Gaussian asymmetry in Planck CMB maps
Bernui, A.; Oliveira, A.F.; Pereira, T.S. E-mail: adhimar@unifei.edu.br
2014-10-01
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.
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
Stein, Seth
, and a risk premium reflecting the variance of the hazard. We also consider whether new nuclear power plants and Seth Stein Abstract. Uncertainty issues are crucial in assessing the risk posed by natural hazards natural hazard mitigation policies. In confronting the risks of natural haz- ards, society can be viewed
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
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
GREAT BLUE HERON NESTING BIOLOGY AND HABITAT USE ON THE JAMES RIVER IN SOUTH DAKOTA
of feeding trips of adult birds peaked when nestlings were 29 days old. A significant amount of variance in adult feeding trips per hour was accounted for by southerly winds and the time period from 1800-1800 hours. Nest attentiveness of adult birds declined with increasing nestling age, with feeding
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 (EMCAN INNOVATIVE RTP-BASED RESIDENTIAL POWER SCHEDULING SCHEME FOR SMART GRIDS Chen Chen , Shalinee for consumers, but also reduce peak load and the variance between demand and supply, while avoiding the "rebound
AQUATIC BIOLOGY Vol. 13: 175191, 2011
metabolites are picked up and carried out through the excurrent siphon in a jet-like flow. The released siphon flow of the bivalve clam M. merce- naria. In particular, this study took an important step toward velocity near the tip of the excurrent siphon were an- alyzed by calculating the mean, variance, power
Employing Symmetry Constraints for Improved Frequency Estimation
Smyth, Gordon K.
process control, communications, radio location of objects, seismic signal processing and computer, especially in areas such as geophysics, speech recogni- tion and electronic signal processing. A traditional an error process with mean zero and constant variance. The sum of sinusoids model is said to have
Atmosphere and Ocean Origins of North American Droughts* RICHARD SEAGER
Biasutti, Michela
of droughts that also impact Mexico and/or Canada. For example, the 1950s U.S. Southwest * Lamont% of total variance in northeastern Mexico, the southern Great Plains, and the Gulf Coast states but less-motion disasters whose beginnings and ends are even often hard to identify. However, while the social and financial
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
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 Clémençon 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
Author's personal copy Neighborhood uniformity increases growth of individual Eucalyptus trees
Anderson, Charles W.
Author's personal copy Neighborhood uniformity increases growth of individual Eucalyptus trees modeled growth of 8800 focal clonal trees in a 9 ha operational, clonal plantation of Eucalyptus grandis x uniform, operational plantation of clonal Eucalyptus has substantial variance in tree sizes and growth
Effect of Finite-rate Chemical Reactions on Turbulence in Hypersonic Turbulent Boundary Layers
Martín, 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
Collins, James J.
Mechanism of stochastic resonance enhancement in neuronal models driven by 1/f noise Daichi NozakiHugh-Nagumo FHN neuronal model, the optimal noise variance for SR could be minimized with 1. In this study, we model. We demonstrate that the aforementioned effect of 1/f noise is related to the dynamical
Baryon Fluctuations in High Energy Nuclear Collisions
Sean Gavin; Claude Pruneau
1999-07-09
We propose that dramatic changes in the variances and covariance of protons and antiprotons can result if baryons approach chemical equilibrium in nuclear collisions at RHIC. To explore how equilibration alters these fluctuations, we formulate both equilibrium and nonequilibrium hadrochemical descriptions of baryon evolution. Contributions to fluctuations from impact parameter averaging and finite acceptance in nuclear collisions are numerically simulated.
Performance Analysis of Isolated Intersection Traffic Signals
Yin, Kai
2013-08-01
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...
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
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
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
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
Jacobs, Lucia
outcomes, including decreased well-being, increased incidence of disease, post-traumatic stress disorder, general- ized anxiety disorder, and major depressive disorder (Dohrenwend & Dohrenwend, 1974; Kendler et impressive resilience. Understanding the factors that govern the great individual variance in outcomes after
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
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
Names for Eg(X) Independence Covariance and Correlation The Expected Value
Watkins, Joseph C.
Names for Eg(X) Independence Covariance and Correlation Topic 8 The Expected Value Functions of Random Variables 1 / 12 #12;Names for Eg(X) Independence Covariance and Correlation Outline Names for Eg(X) Variance and Standard Deviation Independence Covariance and Correlation 2 / 12 #12;Names for Eg
The Canadian Journal of Statistics Vol. 34, No. ?, 2006, Pages ??? ???
Carlin, Bradley P.
; Effective number of parameters; Generalized linear hierarchical model; Model complexity; Shrinkage. MSC 2000 of specifying prior distributions for variance components, in the process casting further doubt on the commonly casting further doubt on the commonly used vague inverse gamma prior. 1. INTRODUCTION Recent computing
Analysis of DoseResponse Data in the Presence of ExtraBinomial Variation
Boos, Dennis
of several dioxins. Keywords: Empirical variance; Goodness of fit; Logistic regression; Probit analysis,3,7,8tetrabromodibenzopdioxin (TBDD) in C57BL/6N mice (Birnbaum, Morrissey, and Harris, 1990). The responses and examined on gestation day 18. Also plotted in Figure 1 are similar data for 2,3,7,8tetrachlorodibenzopdioxin
George Mason University
has served as the traditional home for several well- established nomadic herding groups. This zone now face more socio- natural complexity in their lives marked by the advancement of government, resource variance, weather patterns, and hydrology. Agent decision-making within the model's social
Frequency Offset Estimator with Low Computational Complexity
Minn, Hlaing
decomposition for the derivative of the cost function. The CFO estimate's variance and Cramer-Rao bound (CRB systems [3][9], but a relatively new one for MIMO or MIMO OFDM systems [10][16]. Numerical calculations operators, respectively. [X]m,n denotes the (m, n)-th entry of a matrix X. [x]m denotes the m-th entry
Scassellati, Brian
that it warrants a kind of "mental shorthand." The new entry is only added if the cost of storage is less than.gold@yale.edu) and Brian Scassellati (scaz@cs.yale.edu) Department of Computer Science, 51 Prospect Street New Haven, CT together until the cepstral coefficient variance is low within each new seg- ment. These segments
A non parametric approach for histogram segmentation
Desolneux, Agnčs
considers a rigorous definition of an admissible segmentation, avoiding over and under-segmentation problems of Gaussians, for example, luminance histograms of natural images, as we shall see in the experimental section segments by minimizing some energy criterion (variance, entropy, etc...). In all cases, the number of modes
Latin-square three-dimensional gage master
Jones, L.
1981-05-12
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.
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
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
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)
2011-10-15
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.
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
Energy dependence of multiplicity fluctuations in heavy ion collisions at 20A to 158A GeV
Alt, C.; Blume, C.; Bramm, R.; Dinkelaker, P.; Flierl, D.; Kliemant, M.; Kniege, S.; Lungwitz, B.; Mitrovski, M.; Renfordt, R.; Schuster, T.; Stock, R.; Strabel, C.; Stroebele, H.; Utvic, M.; Wetzler, A.; Anticic, T.; Kadija, K.; Nicolic, V.; Susa, T.
2008-09-15
Multiplicity fluctuations of positively, negatively, and all charged hadrons in the forward hemisphere were studied in central Pb+Pb collisions at 20A,30A,40A,80A, and 158A GeV. The multiplicity distributions and their scaled variances {omega} are presented as functions of their dependence on collision energy as well as on rapidity and transverse momentum. The distributions have bell-like shapes and their scaled variances are in the range from 0.8 to 1.2 without any significant structure in their energy dependence. No indication of the critical point in fluctuations are observed. The string-hadronic ultrarelativistic quantum molecular dynamics (UrQMD) model significantly overpredicts the mean, but it approximately reproduces the scaled variance of the multiplicity distributions. The predictions of the statistical hadron-resonance gas model obtained within the grand-canonical and canonical ensembles disagree with the measured scaled variances. The narrower than Poissonian multiplicity fluctuations measured in numerous cases may be explained by the impact of conservation laws on fluctuations in relativistic systems.
Riedi, Rudolf H.
of Electrical and Computer Engineering, Rice University Houston, Texas 77005, USA Abstract The multifractal from a finite data record. In this paper, we derive asymptotic expressions for the bias and variance Consortium for Computational Seismic Interpretation. Email: paulo.goncalves@inria.fr, riedi@rice.edu, richb
Robust Replication of Volatility Derivatives and Roger Lee
Lee, Roger
The tradeoff between risk and return is a central theme of finance, and volatility and variance of returns are standard measures of risk. The volatility of a stock is revealed by the market price of an option, allow us to replicate volatility derivatives, by dynamic trading in standard options and the underlying
Inferring crustal structure in the Aleutian island arc from a sparse wide-angle seismic data set
Shillington, Donna J.
in the Aleutian islands shed a new light on island arc systems, and the role that magmatic arcs may play G 3 G 3Inferring crustal structure in the Aleutian island arc from a sparse wide-angle seismic data set inversion with static corrections for island stations reduces the data variance of a 1-D starting model
Co-channel interference reduction in Rayleigh fading Alex Grant 1
Grant, Alex
in the presence of Rayleigh fading. The variance transfer analysis of Alexan- der, Grant & Reed (Europ. Trans is a limiting factor for such networks. The results of [1] indicate that transport capacity at best scales only is the multiplication of xk[i] with an N- dimensional unit energy binary modulation waveform sk[i] {-1/ N, 1/ N
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
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
Preplanning Method for Multi-Story Building Construction using Line of Balance Proceedings IGLC '98
Tommelein, Iris D.
of the method support lean construction concepts, such as waste elimination, variances minimization, flexible ones, which have float time. It means that the planning construction incorporates wastes whatPreplanning Method for Multi-Story Building Construction using Line of Balance Proceedings IGLC '98
Brandsma, Theo
, NOT FOR SUBMISSION! Measurement and statistical modeling of the urban heat island of the city of Utrecht (the on wind direction, cloudiness and wind speed. Statistical models are constructed that relate the mean nighttime urban heat island intensity in Utrecht. Both models explain more than 75% of the variance
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
The Influence of Psychological Characteristics on Managed Lane Use: A Further Examination
Green, Lisa
2015-07-16
like to thank my family for their constant love and support, and their vote of confidence in my ability to do hard things well. vii NOMENCLATURE ANOVA Analysis of Variance AR Adaptive Random ASC Alternative Specific Constant ATCON Scale....4 Paper Survey .......................................................................................................... 58 5.5 Paper Survey Data Analysis ................................................................................... 60 5...
Sánchez, Angel "Anxo"
33 large scale patterns by including at the local community level information about species37 variance of the newly defined species richness, highlighting that, at the local scale, communities,8, while ambient energy becomes limiting in cold climates1.50 Analyses of species richness
Gas-storage calculations yield accurate cavern, inventory data
Mason, R.G. )
1990-07-02
This paper discusses how determining gas-storage cavern size and inventory variance is now possible with calculations based on shut-in cavern surveys. The method is the least expensive of three major methods and is quite accurate when recorded over a period of time.
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
A five year global aerosol and cloud properties database from ATSR-2 data1 1 1 1 2 3
Oxford, University of
angle !Satellite zenith angle !Relative (satellite to Sun) azimuth angle !Value of the cost function !Cloud optical depth 1 !Cloud droplet effective radius 1 !Cloud top temperature 1 !Cloud top pressure 1 provides uncertainty estimates, and level 3 data provides variances, for all relevant parameters. Contact
Andrew Weisberg DOE-Annual-030520-1 Hydrogen Storage
Andrew Weisberg DOE-Annual-030520-1 Hydrogen Storage Using Lightweight Tanks DOE Hydrogen Program Myers, Gene Berry This work was performed under the auspices of the U.S. Department of Energy · Risk of `suppressed' failure modes with higher variance is neglected in current safety standards
A low dose simulation tool for CT systems with energy integrating detectors
Zabic, Stanislav; Morton, Thomas; Brown, Kevin M.; Wang Qiu
2013-03-15
Purpose: This paper introduces a new strategy for simulating low-dose computed tomography (CT) scans using real scans of a higher dose as an input. The tool is verified against simulations and real scans and compared to other approaches found in the literature. Methods: The conditional variance identity is used to properly account for the variance of the input high-dose data, and a formula is derived for generating a new Poisson noise realization which has the same mean and variance as the true low-dose data. The authors also derive a formula for the inclusion of real samples of detector noise, properly scaled according to the level of the simulated x-ray signals. Results: The proposed method is shown to match real scans in number of experiments. Noise standard deviation measurements in simulated low-dose reconstructions of a 35 cm water phantom match real scans in a range from 500 to 10 mA with less than 5% error. Mean and variance of individual detector channels are shown to match closely across the detector array. Finally, the visual appearance of noise and streak artifacts is shown to match in real scans even under conditions of photon-starvation (with tube currents as low as 10 and 80 mA). Additionally, the proposed method is shown to be more accurate than previous approaches (1) in achieving the correct mean and variance in reconstructed images from pure-Poisson noise simulations (with no detector noise) under photon-starvation conditions, and (2) in simulating the correct noise level and detector noise artifacts in real low-dose scans. Conclusions: The proposed method can accurately simulate low-dose CT data starting from high-dose data, including effects from photon starvation and detector noise. This is potentially a very useful tool in helping to determine minimum dose requirements for a wide range of clinical protocols and advanced reconstruction algorithms.
Dimensionality and noise in energy selective x-ray imaging
Alvarez, Robert E.
2013-11-15
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
2009-12-01
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.
Resonant activation in a colored multiplicative thermal noise driven closed system
Ray, Somrita; Bag, Bidhan Chandra; Mondal, Debasish
2014-05-28
In this paper, we have demonstrated that resonant activation (RA) is possible even in a thermodynamically closed system where the particle experiences a random force and a spatio-temporal frictional coefficient from the thermal bath. For this stochastic process, we have observed a hallmark of RA phenomena in terms of a turnover behavior of the barrier-crossing rate as a function of noise correlation time at a fixed noise variance. Variance can be fixed either by changing temperature or damping strength as a function of noise correlation time. Our another observation is that the barrier crossing rate passes through a maximum with increase in coupling strength of the multiplicative noise. If the damping strength is appreciably large, then the maximum may disappear. Finally, we compare simulation results with the analytical calculation. It shows that there is a good agreement between analytical and numerical results.
A simple method to estimate interwell autocorrelation
Pizarro, J.O.S.; Lake, L.W.
1997-08-01
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.
Fourier Analytic Approach to Phase Estimation
Hiroshi Imai; Masahito Hayashi
2008-10-31
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.
?{sup 2}{sub R}, a reciprocal-space measure of the quality of macromolecular electron-density maps
Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Structural Biology Group, Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)
1999-06-01
A reciprocal-space measure of the quality of macromolecular crystallographic phases based on the variance of the local roughness of the map is presented. It has previously been shown that the presence of distinct regions of solvent and protein in macromolecular crystals leads to a high value of the standard deviation of local r.m.s. electron density and that this can in turn be used as a reliable measure of the quality of macromolecular electron-density maps [Terwilliger & Berendzen (1999a ?). Acta Cryst. D55, 501–505]. Here, it is demonstrated that a similar measure, ?{sub R}{sup 2}, the variance of the local roughness of the electron density, can be calculated in reciprocal space. The formulation is suitable for rapid evaluation of macromolecular crystallographic phases, for phase improvement and for ab initio phasing procedures.
Clock Agreement Among Parallel Supercomputer Nodes
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Jones, Terry R.; Koenig, Gregory A.
2014-04-30
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.
Is there quantum chaos in the prime numbers?
Todd Timberlake; Jeffery Tucker
2008-01-07
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.
Physical vacuum is a special superfluid medium
Sbitnev, Valeriy I
2015-01-01
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 non-zero); (b) the pressure gradient contains an added term describing the quantum 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 being as a superfluid medium. Vortex structures arising in this medium show infinitely long life owing to zeroth average viscosity. The non-zero 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 long-lived vortex has a non-zero core where the vortex velocity vanishes.
Navier-Stokes equation describes the movement of a special superfluid medium
Valeriy I. Sbitnev
2015-04-28
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.
Navier-Stokes equation describes the movement of a special superfluid medium
Sbitnev, Valeriy I
2015-01-01
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.
Current-voltage characteristics of seven-helix proteins from a cubic array of amino acids
Alfinito, Eleonora
2015-01-01
The electrical properties of a set of seven-helix transmembrane proteins, whose space arrangement (3D structure) is known, are investigated by using regular arrays of the amino acids. These structures, specifically cubes, have topological features similar to those shown by the chosen proteins. The theoretical results show a good agreement between the predicted current-voltage characteristics obtained from a cubic array and those obtained from a detailed 3D structure. The agreement is confirmed by available experiments on bacteriorhodopsin. Furthermore, all the analyzed proteins are found to share the same critical behaviour of the voltage-dependent conductance and of its variance. In particular, the cubic arrangement evidences a short plateau of the excess conductance and its variance at high voltages. The results of the present investigation show the possibility to predict the I-V characteristics of multiple-protein sample even in the absence of a detailed knowledge of their 3D structure.
Self-Calibrated Cluster Counts as a Probe of Primordial Non-Gaussianity
Oguri, Masamune; /KIPAC, Menlo Park
2009-05-07
We show that the ability to probe primordial non-Gaussianity with cluster counts is drastically improved by adding the excess variance of counts which contains information on the clustering. The conflicting dependences of changing the mass threshold and including primordial non-Gaussianity on the mass function and biasing indicate that the self-calibrated cluster counts well break the degeneracy between primordial non-Gaussianity and the observable-mass relation. Based on the Fisher matrix analysis, we show that the count variance improves constraints on f{sub NL} by more than an order of magnitude. It exhibits little degeneracy with dark energy equation of state. We forecast that upcoming Hyper Suprime-cam cluster surveys and Dark Energy Survey will constrain primordial non-Gaussianity at the level {sigma}(f{sub NL}) {approx} 8, which is competitive with forecasted constraints from next-generation cosmic microwave background experiments.
Inflationary power asymmetry from primordial domain walls
Jazayeri, Sadra; Firouzjahi, Hassan; Solomon, Adam R; Wang, Yi
2014-01-01
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...
Decision support for operations and maintenance (DSOM) system
Jarrell, Donald B. (Kennewick, WA); Meador, Richard J. (Richland, WA); Sisk, Daniel R. (Richland, WA); Hatley, Darrel D. (Kennewick, WA); Brown, Daryl R. (Richland, WA); Keibel, Gary R. (Richland, WA); Gowri, Krishnan (Richland, WA); Reyes-Spindola, Jorge F. (Richland, WA); Adams, Kevin J. (San Bruno, CA); Yates, Kenneth R. (Lake Oswego, OR); Eschbach, Elizabeth J. (Fort Collins, CO); Stratton, Rex C. (Richland, WA)
2006-03-21
A method for minimizing the life cycle cost of processes such as heating a building. The method utilizes sensors to monitor various pieces of equipment used in the process, for example, boilers, turbines, and the like. The method then performs the steps of identifying a set optimal operating conditions for the process, identifying and measuring parameters necessary to characterize the actual operating condition of the process, validating data generated by measuring those parameters, characterizing the actual condition of the process, identifying an optimal condition corresponding to the actual condition, comparing said optimal condition with the actual condition and identifying variances between the two, and drawing from a set of pre-defined algorithms created using best engineering practices, an explanation of at least one likely source and at least one recommended remedial action for selected variances, and providing said explanation as an output to at least one user.
Physical vacuum is a special superfluid medium
Valeriy I. Sbitnev
2015-02-05
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 non-zero); (b) the pressure gradient contains an added term describing the quantum 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 being as a superfluid medium. Vortex structures arising in this medium show infinitely long life owing to zeroth average viscosity. The non-zero 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 long-lived vortex has a non-zero core where the vortex velocity vanishes.
Sparse matrix transform for fast projection to reduced dimension
Theiler, James P; Cao, Guangzhi; Bouman, Charles A
2010-01-01
We investigate three algorithms that use the sparse matrix transform (SMT) to produce variance-maximizing linear projections to a lower-dimensional space. The SMT expresses the projection as a sequence of Givens rotations and this enables computationally efficient implementation of the projection operator. The baseline algorithm uses the SMT to directly approximate the optimal solution that is given by principal components analysis (PCA). A variant of the baseline begins with a standard SMT solution, but prunes the sequence of Givens rotations to only include those that contribute to the variance maximization. Finally, a simpler and faster third algorithm is introduced; this also estimates the projection operator with a sequence of Givens rotations, but in this case, the rotations are chosen to optimize a criterion that more directly expresses the dimension reduction criterion.
Asymptotics of finite system Lyapunov exponents for some random matrix ensembles
Peter J. Forrester
2015-01-23
For products $P_N$ of $N$ random matrices of size $d \\times d$, there is a natural notion of finite $N$ Lyapunov exponents $\\{\\mu_i\\}_{i=1}^d$. In the case of standard Gaussian random matrices with real, complex or real quaternion elements, and extended to the general variance case for $\\mu_1$, methods known for the computation of $\\lim_{N \\to \\infty} \\langle \\mu_i \\rangle$ are used to compute the large $N$ form of the variances of the exponents. Analogous calculations are performed in the case that the matrices making up $P_N$ are products of sub-blocks of random unitary matrices with Haar measure. Furthermore, we make some remarks relating to the coincidence of the Lyapunov exponents and the stability exponents relating to the eigenvalues of $P_N$.
Nuclear-data evaluation based on direct and indirect measurements with general correlations
Muir, D.W.
1988-01-01
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.
Business cycles in oil economies
Al-Mutairi, N.H.
1991-01-01
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.
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.
Part II - The effect of data on waste behaviour: The South African waste information system
Godfrey, Linda; Scott, Dianne; Difford, Mark; Trois, Cristina
2012-11-15
Highlights: Black-Right-Pointing-Pointer This empirical study explores the relationship between data and resultant waste knowledge. Black-Right-Pointing-Pointer The study shows that 'Experience, Data and Theory' account for 54.1% of the variance in knowledge. Black-Right-Pointing-Pointer A strategic framework for Municipalities emerged from this study. - Abstract: Combining the process of learning and the theory of planned behaviour into a new theoretical framework provides an opportunity to explore the impact of data on waste behaviour, and consequently on waste management, in South Africa. Fitting the data to the theoretical framework shows that there are only three constructs which have a significant effect on behaviour, viz experience, knowledge, and perceived behavioural control (PBC). Knowledge has a significant influence on all three of the antecedents to behavioural intention (attitude, subjective norm and PBC). However, it is PBC, and not intention, that has the greatest influence on waste behaviour. While respondents may have an intention to act, this intention does not always manifest as actual waste behaviour, suggesting limited volitional control. The theoretical framework accounts for 53.7% of the variance in behaviour, suggesting significant external influences on behaviour not accounted for in the framework. While the theoretical model remains the same, respondents in public and private organisations represent two statistically significant sub-groups in the data set. The theoretical framework accounts for 47.8% of the variance in behaviour of respondents in public waste organisations and 57.6% of the variance in behaviour of respondents in private organisations. The results suggest that respondents in public and private waste organisations are subject to different structural forces that shape knowledge, intention, and resultant waste behaviour.
Probabilistic finite element analysis of marine risers
Leder, H. Vern
1990-01-01
parameters inher- ent to the problem of interest. This includes expected values and variances of random variables and, additionally, correlation functions of random fields. Monte Carlo simulations are fairly straightforward and have been used to solve... of the problem is required. They are, however, computationally repetitive due to the large number of samples of input random variables or fields necessary to achieve statistical stability. In this respect, Monte Carlo simulations are not an entirely attractive...
Stevens, L.; Hooks, D; Migliori, A
2010-01-01
Elastic tensors for organic molecular crystals vary significantly among different measurements. To understand better the origin of these differences, Brillouin scattering and resonant ultrasound spectroscopy measurements were made on the same specimen for single crystal pentaerythritol tetranitrate. The results differ significantly despite mitigation of sample-dependent contributions to errors. The frequency dependence and vibrational modes probed for both measurements are discussed in relation to the observed tensor variance.
On the collapse of a wave function satisfying a damped driven non-linear Schrödinger equation
Sigurd Assing; Astrid Hilbert
2014-05-01
We show that a physically motivated trial solution of a damped driven non-linear Schr\\"odinger equation does neither encounter collapse nor so-called pseudocollapse although the exponent of the non-linearity is critical. This result sheds new light on the accuracy of numerical solutions to this problem obtained in an earlier paper where the authors claim pseudocollapse of the trial solution when the variance of the driving noise is below a certain level.
Characterization of multiqubit pure-state entanglement
Zeqian Chen; Quanhua Xu
2010-02-20
A necessary and sufficient entanglement criterion based on variances of Mermin-Klyshko's Bell operators is proved for multiqubit pure states. Contrary to Bell's inequalities, entangled pure states strictly satisfy a quadratic inequality but product ones can attain the equality under some local unitary transformations, which can be obtained by solving a quadratic maximum problem. This presents a characterization of multiqubit pure-state entanglement.
Multifractal statistics of Lagrangian velocity and acceleration in turbulence
L. Biferale; G. Boffetta; A. Celani; B. J. Devenish; A. Lanotte; F. Toschi
2004-03-11
The statistical properties of velocity and acceleration fields along the trajectories of fluid particles transported by a fully developed turbulent flow are investigated by means of high resolution direct numerical simulations. We present results for Lagrangian velocity structure functions, the acceleration probability density function and the acceleration variance conditioned on the instantaneous velocity. These are compared with predictions of the multifractal formalism and its merits and limitations are discussed.
Will Monetized Carbon Emission Reductions Buy Enhanced Building Operations?
Millhone, J.
2007-01-01
transportation arteries and thus are capable of measuring impacts from mobile sources as well as stationary sources. Monitoring is performed to measure the criteria pollutants (sulfur dioxide, carbon monoxide, oxides of nitrogen, lead, particulate matter.... Monitoring is performed to measure the criteria pollutants (sulfur dioxide, carbon monoxide, oxides of nitrogen, lead, particulate matter, and ozone) as well as meteorological parameters (wind speed, wind direction, wind direction variance, temperature, net...
Software realization of the complex spectra analysis algorithm in R
Bakhrushin, Vladimir
2015-01-01
Software realization of the complex spectra decomposition on unknown number of similarcomponents is proposed.The algorithm is based on non-linear minimizing the sum of squared residuals of the spectrum model. For the adequacy checking the complex of criteria is used.It tests the model residuals correspondence with the normal distribution, equality to zero of their mean value and autocorrelation. Also the closeness of residuals and experimental data variances is checked.
Mersmann, Ryan S.
2010-01-14
and reduced Mn in soil solution, and the corresponding Eh reading. Mean and standard deviation were calculated for redox potential, ferrous Fe, and reduced Mn replicants for each treatment (soil type). A one-way analysis of variance was performed for redox... potential (Eh) for each ferrous Fe treatment after 336 h of equilibration from Study #3...................................................................... 82 37 Ferrous Fe in solution per pore volume and percent redox concentration...
Effects of aggregate gradation and angularity on VMA and rutting resistance
Park, Dae-Wook
2000-01-01
Specific Gravity of Fine Aggregates. 20 5 FAA Values of Fine Aggregates. 21 6 Design Asphalt Content and VMA Value. . 7 Asphalt Pavement Analyzer (APA) Results. . . . . . . . . . . . . . . . . . . . . . . 8 Analysis of Variance ( = 0. 05) for Average... Maximum Size. . . . . 10 2 FAA versus Rut Depth. . 27 3 Mineral Filler Content versus VMA. . 4 VMA During Superpave Volumetric Mix Design Process. . . . . 5 FAA versus VMA at 4 Percent Air Voids. . . . . . . . 39 40 CHAPTER I INTRODUCTION GENERAL...
Twin Gaussian Processes for Structured Prediction Liefeng Bo and Cristian Sminchisescu
Bo, Liefeng
(r, r) the co- variance function defined over inputs and CX(x, x) the covariance function defined over out- put x (we aim to estimate x): fX fx NX 0, CX Cx X (Cx X ) CX (x, x) , where CX is a nĂ?n matrix with (CX)ij = CX(xi, xj) and Cx X is a n Ă? 1 column vector with (Cx X)i = CX(xi, x). TGP makes predictions
Entropic uncertainty relation for power-law wave packets
Sumiyoshi Abe; S. Martinez; F. Pennini; A. Plastino
2002-06-06
For the power-law quantum wave packet in configuration space, the variance of the position observable may be divergent. Accordingly, the information-entropic formulation of the uncertainty principle becomes more appropriate than the Heisenberg-type formulation, since it involves only the finite quantities. It is found that the total amount of entropic uncertainty converges to its lower bound in the limit of a large value of the exponent.
Effect of noise on the standard mapping
Karney, C.F.F.; Rechester, A.B.; White, R.B.
1981-03-01
The effect of a small amount of noise on the standard mapping is considered. Whenever the standard mapping possesses accelerator models (where the action increases approximately linearly with time), the diffusion coefficient contains a term proportional to the reciprocal of the variance of the noise term. At large values of the stochasticity parameter, the accelerator modes exhibit a universal behavior. As a result the dependence of the diffusion coefficient on stochasticity parameter also shows some universal behavior.
Cognitive Energy Value Chain: Leveraging Big Data to Optimize Energy
Birg, G.; Reitmeier, T.
2014-01-01
-if’ Scenarios Predicting The Future Variance Analyses Performance Management System Wide Trade Offs ESL-IE-14-05-44 Proceedings of the Thrity-Sixth Industrial Energy Technology Conference New Orleans, LA. May 20-23, 2014 - 6 -CEO Cognitive Energy Optimization... Optimization Confidential Predictive vs. Prescriptive Analytics Predictive analytics solutions allow organizations to discover, evaluate, optimize, and deploy predictive models by analyzing data sources to improve business outcomes where: – Evidence...
George, Karen Maria
1990-01-01
reduction factors. These factors describe the hypothesized relation between accident rate and both the severity of the restriction and the presence of other confounding geometric features within the restriction. Neuman and Glennon's model ~26 included a... controlled database was used to test the hypothesis in order to discriminate between accidents possibly caused by limited sight distance and accidents caused by other geometric features. Multiple-factor analysis of variance was used to test the variation...
Statistical assessment of Monte Carlo distributional tallies
Kiedrowski, Brian C; Solomon, Clell J
2010-12-09
Four tests are developed to assess the statistical reliability of distributional or mesh tallies. To this end, the relative variance density function is developed and its moments are studied using simplified, non-transport models. The statistical tests are performed upon the results of MCNP calculations of three different transport test problems and appear to show that the tests are appropriate indicators of global statistical quality.
Morales, Adrian
2011-02-22
= Capital Expenditures EOS = Equations of State GA = Genetic Algorithm HGA = Hybrid Genetic Algorithm ? = Mean of Original Population ? o = Mean of Standard Normal Distribution Population MiniVar = Minimal Variance Modification MMSCF = Million.... ............................................................................................................. 30 Figure 2.14 Comparison of the Conventional Probability and MiniVar Method with a Small Standard Deviation. Fitness Values are 100 for Individual #1, 95 for Individual #2, 102 for Individual #3, 98 for Individual #4 and 99 for Individual #5...
Can one extract the pi-neutron scattering length from pi-deuteron scattering?
A. Nogga; C. Hanhart
2005-11-02
We give a prove of evidence that the original power counting by Weinberg can be applied to estimate the contributions of the operators contributing to the pi-deuteron scattering length. As a consequence, pi-deuteron observables can be used to extract neutron amplitudes--in case of pi-deuteron scattering this means that the pi-neutron scattering length can be extracted with high accuracy. This result is at variance with recent claims. We discuss the origin of this difference.
Biogenic silica standing stock and export in the Santa Barbara Channel ecosystem
Siegel, David A.
Biogenic silica standing stock and export in the Santa Barbara Channel ecosystem Jeffrey W. Krause-water biogenic silica (bSiO2) and deep-water bSiO2 export in the Santa Barbara Channel (SBC) allow variations for the surface bSiO2 dataset and accounts for ~65% of the variance. bSiO2 export is also highly
Rigidity Analysis for Modeling Protein Motion
Thomas, Shawna L.
2010-07-14
. ............................... 128 XIII Comparison of average relative exchange rate for both EX RS and EX CS between the entire protein and the experimentally defined folding core. ................................ 154 xii TABLE Page XIV Comparison between rigidityscores, cluster... exchange rates from rigidity scores and cluster scores to experimental data. ................... 131 50 Visual comparison of simulated exchange rates to experimental data. 149 51 Minimal variance thresholds (dashed lines) to cluster EX RS for Tendamistat...
Systems for optimizing the condition of beef carcasses for distribution over extended time periods
Simmons, Ronald Douglas
1974-01-01
of simulated nitrogen gas atmospheres in comparison to normal air atmospheres for beef storage. Eighty beef sides were divided into quarters and subjected to one of eight treatments 48 hr postmortem. Two kinds of surface protection (unprotected vs. PVC film... wrapping), two rinsing treat- ments (200 ppm chlorine vs. no chlorine rinse), two types of atmos- phere (air vs. nitrogen gas) and two storage intervals (14 vs. 21 days) were compared. Analysis of variance revealed that wrapping in PVC film, rinsing...
Haque, Mozammel
1967-01-01
ASH, CALCIUM, PHOSPHORUS AND MAGNESIUM CONTENT OF THE METACARPUS OF HEREFORD COWS UNDER DIFFERENT NUTRITIONAL AND PHYSIOLOGICAL CONDITIONS A Thesis By MOZAMMEL HAQUE Submitted to the Graduate College of the Texas A&M University in partial... centages of Calcium, Phosphorus snd Magnesium in Bone Ash for Cows Gi;en Different Treatments During Pre- And Post-Partum Periods 22 10 Analysis of Variance oi Calcium in Bone Ash Dun an's )tultiple tvange Test 1'or Calcium in Bone Ash. Analy...
MEASURING X-RAY VARIABILITY IN FAINT/SPARSELY SAMPLED ACTIVE GALACTIC NUCLEI
Allevato, V.; Paolillo, M.; Papadakis, I.; Pinto, C.
2013-07-01
We study the statistical properties of the normalized excess variance of variability process characterized by a ''red-noise'' power spectral density (PSD), as in the case of active galactic nuclei (AGNs). We perform Monte Carlo simulations of light curves, assuming both a continuous and a sparse sampling pattern and various signal-to-noise ratios (S/Ns). We show that the normalized excess variance is a biased estimate of the variance even in the case of continuously sampled light curves. The bias depends on the PSD slope and on the sampling pattern, but not on the S/N. We provide a simple formula to account for the bias, which yields unbiased estimates with an accuracy better than 15%. We show that the normalized excess variance estimates based on single light curves (especially for sparse sampling and S/N < 3) are highly uncertain (even if corrected for bias) and we propose instead the use of an ''ensemble estimate'', based on multiple light curves of the same object, or on the use of light curves of many objects. These estimates have symmetric distributions, known errors, and can also be corrected for biases. We use our results to estimate the ability to measure the intrinsic source variability in current data, and show that they could also be useful in the planning of the observing strategy of future surveys such as those provided by X-ray missions studying distant and/or faint AGN populations and, more in general, in the estimation of the variability amplitude of sources that will result from future surveys such as Pan-STARRS and LSST.
Chow, Guillermo
1964-01-01
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 14 Csnarsl Perm Used i'or dnelysie oi' Variance. . . . . . , 16 Perm sad pormulds Weed to Determine tho Hegteseioas ead Correlations ~ ~ ~ ~ ~ e ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 17 Hdtimstod Milh Production of Tea Hereford Cows Milhsd et Bifferaat... tncreeee tn mttk production ead p decrease tn fat percentage during the eapertmentat period, aad a return to the ortgtasL Level of mllh production and o alight ta- crease ta Rat percentage ta tho post cucpertmantel period ta which twice daily milking...
A comparison of silage and grain yields of four corn hybrids at three locations in Texas
Spears, Ben Riley
1953-01-01
A))'I H. '" C I'I OH ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ o ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 40 AILNHIX o ~ ~ ~ ~ ~ ~ ~ ~ ~ o ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ o oo IT 42 1, Ccsibined silage yields grain yield and lodging percentage of the four hybrids for all locations? 2...? Ceabined silage yields grain yield and lodging percentage of the three plant spacdngs for all locations, TABLES Analysis of variance of silage yields at College Station. Analysis of vsr1mme of grain yields at GoUege Statics& 30 4. Analysis...
A Comparison of Image Quality Evaluation Techniques for Transmission X-Ray Microscopy
Bolgert, Peter J; /Marquette U. /SLAC
2012-08-31
Beamline 6-2c at Stanford Synchrotron Radiation Lightsource (SSRL) is capable of Transmission X-ray Microscopy (TXM) at 30 nm resolution. Raw images from the microscope must undergo extensive image processing before publication. Since typical data sets normally contain thousands of images, it is necessary to automate the image processing workflow as much as possible, particularly for the aligning and averaging of similar images. Currently we align images using the 'phase correlation' algorithm, which calculates the relative offset of two images by multiplying them in the frequency domain. For images containing high frequency noise, this algorithm will align noise with noise, resulting in a blurry average. To remedy this we multiply the images by a Gaussian function in the frequency domain, so that the algorithm ignores the high frequency noise while properly aligning the features of interest (FOI). The shape of the Gaussian is manually tuned by the user until the resulting average image is sharpest. To automatically optimize this process, it is necessary for the computer to evaluate the quality of the average image by quantifying its sharpness. In our research we explored two image sharpness metrics, the variance method and the frequency threshold method. The variance method uses the variance of the image as an indicator of sharpness while the frequency threshold method sums up the power in a specific frequency band. These metrics were tested on a variety of test images, containing both real and artificial noise. To apply these sharpness metrics, we designed and built a MATLAB graphical user interface (GUI) called 'Blur Master.' We found that it is possible for blurry images to have a large variance if they contain high amounts of noise. On the other hand, we found the frequency method to be quite reliable, although it is necessary to manually choose suitable limits for the frequency band. Further research must be performed to design an algorithm which automatically selects these parameters.
Weers, Brock D.
2012-10-19
................................... 20 2.7 BTx642 and RTx7000 individual leaf dry weight ..................................... 21 2.8 BTx642 and RTx7000 total leaf area time course ...................................... 22 2.9 BTx642 and RTx7000 individual leaf area... lines grown in the field in 2009 and 2010 .................. 166 8.2 Analysis of variance across field conditions in 2009-2010 for root size parameters in the BTx642 x RTx7000 RIL population...
Observational and numerical study of Atlantic tropical instability waves
Wu, Qiaoyan
2009-06-02
(solid line) and Atlantic ATL3 index (dot line) from 1998 to 2005. . . . . . . . . . . . . . . . . . . . . . . . 15 4 The scheme of Radon transform to estimate wave characteristics from the longitude-time TIW distribution... variance is computed at each point, then averaged over the active TIW region. We use this filter to derive anomaly fields of SST. After the filtering, the Radon transform technique is applied to estimate the propagation characteristics of the TIW. The Radon...
Wallis, Trevor W.R
1992-01-01
in the observed distribution. . . . . . . . . . . . . 60 26 Observed minus simulated extreme minimum temperature. . 61 27 Number of simulations with mean frost or mean severe frost statistic significantly different from observed. . . . . . . . . . . . . 62 28... Number of simulations with variance of frost or severe frost statistic significantly different from observed. . . . . . . . . . . . . 63 29 Number of simulations that contain extreme frost or severe frost dates that are more extreme or conservative...
Effect of Water Education on Reducing Residential Consumption in San Antonio, Texas
Rice, Jeremy Joseph
2010-10-12
Percent of Homes in the Study by Monthly Consumption ......................... 6 Table 2 Self Audit and SAWS Audit Results. ....................................................... 12 Table 3 Top 1% Appraisal District Averages... on their consumption (no response, self audit, SAWS audit). Overall, the total reduction from the program was calculated to determine if one method was more effective at reducing consumption. Descriptive statistics and analysis of variance were used to determine...
Steering of a Bosonic Mode with a Double Quantum Dot
T. Brandes; N. Lambert
2003-02-13
We investigate the transport and coherence properties of a double quantum dot coupled to a single damped boson mode. Our numerically results reveal how the properties of the boson distribution can be steered by altering parameters of the electronic system such as the energy difference between the dots. Quadrature amplitude variances and the Wigner function are employed to illustrate how the state of the boson mode can be controlled by a stationary electron current through the dots.