A study of bias in variance estimation with one unit per stratum
Kieffer, Grace Kloor
1967-01-01T23:59:59.000Z
TO THE RANK OF C APPENDIX BIBLIOGRAPHY Page 21 26 4O LIST OF TABLES Table Page 1 Agricultural Ares and Number of Livestock for 364 Villages 2 Cultivated Area and Ares Und. er Wheat for 34 Villages 15 3 Bias Summary i' or Data of Sukhatme 15 4... Cultivated Area and. Area Under Pats for 35 Farms 16 5 . Bias Summary for Data of Samford. 1. 6 6 Number of Dwellings and Number Rented for 270 City Blocks 7 Bias Summary for Data of Kish 17 8 Number of Villages and Area Under Wheat in 89...
Water permeation through stratum corneum lipid bilayers from atomistic simulations
Chinmay Das; Peter D. Olmsted; Massimo G. Noro
2009-07-09T23:59:59.000Z
Stratum corneum, the outermost layer of skin, consists of keratin filled rigid non-viable corneocyte cells surrounded by multilayers of lipids. The lipid layer is responsible for the barrier properties of the skin. We calculate the excess chemical potential and diffusivity of water as a function of depth in lipid bilayers with compositions representative of the stratum corneum using atomistic molecular dynamics simulations. The maximum in the excess free energy of water inside the lipid bilayers is found to be twice that of water in phospholipid bilayers at the same temperature. Permeability, which decreases exponentially with the free energy barrier, is reduced by several orders of magnitude as compared to with phospholipid bilayers. The average time it takes for a water molecule to cross the bilayer is calculated by solving the Smoluchowski equation in presence of the free energy barrier. For a bilayer composed of a 2:2:1 molar ratio of ceramide NS 24:0, cholesterol and free fatty acid 24:0 at 300K, we estimate the permeability P=3.7e-9 cm/s and the average crossing time \\tau_{av}=0.69 ms. The permeability is about 30 times smaller than existing experimental results on mammalian skin sections.
Stratum Approaches to Temporal DBMS Implementation Kristian Torp Christian S. Jensen
Snodgrass, Richard T.
Stratum Approaches to Temporal DBMS Implementation Kristian Torp Christian S. Jensen Department temporal DBMSs have assumed that a temporal DBMS must be built from scratch, employing an integrated a temporal DBMS as a stratum on top of an existing non-temporal DBMS, rendering implementation more feasible
The effect of stratum thickness ratio on crossflow in a stratified petroleum reservoir
Kereluk, Michael Joseph
1966-01-01T23:59:59.000Z
THE EFFECT OF STRATUM THICKNESS RATIO ON CROSSFLOW IN A STRATIFIED PETROLEUM RESERVOIR A Thesis By Michael J. Kereluk Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE May 4966 Major Subject: Petroleum Engineering THE EFFECT OF STRATUM THICKNESS RATIO ON CROSSFLOW IN A STRATIFIED PETROLEUM RESERVOIR A Thesis By Michael I. Kereluk Approved as to style and content by: Chazrma of Com 'ttee...
Broader source: Energy.gov [DOE]
As Grantees update and revise their field standards to align with the SWS, they may discover certain specifications that cannot be implemented precisely as described in the relevant SWS. In such cases, Grantees may request a variance from the relevant SWS.
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
Broader source: Energy.gov [DOE]
Approval of a Permanenet Variance Regarding Static Magnetic Fields at Brookhaven National Laboratory (Variance 1021)
The Wavelet Variance, Allan Variance and Leakage David A. Howe
Percival, Don
The Wavelet Variance, Allan Variance and Leakage by David A. Howe Time and Frequency Division)--543--1300 FAX: (206)--543--6785 Contribution of the U. S. Government, not subject to copyright. #12; Abstract---Wavelets. The discrete wavelet transform can be used to decompose a time series with respect to a set of basis functions
The effect of stratum thickness ratio on crossflow in a stratified petroleum reservoir
Kereluk, Michael Joseph
1966-01-01T23:59:59.000Z
, the effect of stratum thickness ratio and viscosity ratio on crossflow were studied. REVIEW OF LITERATURE The possible importance of permeability stratification in a reservoir being waterflooded was first mentioned in a paper by 1 . Lester C. Uren in f... States, API (1950) p. 160-174. 4, Dyes, A. B. and Braun, P. H. : "Sweepout Patterns in De- pleted and Stratified Reservoirs, " Producers Monthl (1954) 19, No. 2, p, 24-30. 5. Gaucher, D. H. and Lindley, D. C. : "Waterflood Performance in a Stratified...
T. P. Waterhouse; J. P. Zibin
2008-04-10T23:59:59.000Z
How much can we know about our Universe? All of our observations are restricted to a finite volume, and therefore our estimates of presumably global cosmological parameters are necessarily based on incomplete information. Even assuming that the Standard Model of cosmology is correct, this means that some cosmological questions may be unanswerable. For example, is the curvature parameter Omega_K positive, negative, or identically zero? If its magnitude is sufficiently small, then due to cosmic variance no causal observation can ever answer that question. In this article, we first describe the gauge problems associated with defining the cosmic variance of cosmological parameters, then describe a solution involving the use of parameters defined on the surface of last scattering, and finally calculate the statistical variance of ideal measurements of the matter, radiation, and curvature density parameters. We find that Omega_K cannot be measured to better than about 1.5x10^(-5) (1 sigma), and that this limit has already begun to decrease due to the flattening effect of dark energy. Proposed 21 cm hydrogen experiments, for example, make this limit more than just a theoretical curiosity.
Broader source: Energy.gov [DOE]
Approval of a Permanenet Variance Regarding Static Magnetic Fields at Brookhaven National Laboratory (Variance 1021)
The Variance Profile Alessandra LUATI, Tommaso PROIETTI, and Marco REALE
Reale, Marco
The Variance Profile Alessandra LUATI, Tommaso PROIETTI, and Marco REALE The variance profile), the unconditional variance (arithmetic mean, p = 1), and the maximum of the spectrum (p ). The variance profile of the variance profile based on the power mean of the smoothed sample spectrum, and proves its consistency
Reducing variance in batch partitioning measurements
Mariner, Paul E.
2010-08-11T23:59:59.000Z
The partitioning experiment is commonly performed with little or no attention to reducing measurement variance. Batch test procedures such as those used to measure K{sub d} values (e.g., ASTM D 4646 and EPA402 -R-99-004A) do not explain how to evaluate measurement uncertainty nor how to minimize measurement variance. In fact, ASTM D 4646 prescribes a sorbent:water ratio that prevents variance minimization. Consequently, the variance of a set of partitioning measurements can be extreme and even absurd. Such data sets, which are commonplace, hamper probabilistic modeling efforts. An error-savvy design requires adjustment of the solution:sorbent ratio so that approximately half of the sorbate partitions to the sorbent. Results of Monte Carlo simulations indicate that this simple step can markedly improve the precision and statistical characterization of partitioning uncertainty.
Improving Processor Design by Exploiting Performance Variance
Wang, Zhe
2014-07-28T23:59:59.000Z
of a microarchitectural optimization optimization and not the rest of the microarchitecture. We explore performance variance caused by phase changes and develop prediction-driven last-level cache (LLC) writeback techniques. We propose a rank idle time...
The Parabolic variance (PVAR), a wavelet variance based on least-square fit
Vernotte, F; Bourgeois, P -Y; Rubiola, E
2015-01-01T23:59:59.000Z
The Allan variance (AVAR) is one option among the wavelet variances. However a milestone in the analysis of frequency fluctuations and in the long-term stability of clocks, and certainly the most widely used one, AVAR is not suitable when fast noise processes show up, chiefly because of the poor rejection of white phase noise. The modified Allan variance (MVAR) features high resolution in the presence of white PM noise, but it is poorer for slow phenomena because the wavelet spans over 50% longer time. This article introduces the Parabolic Variance (PVAR), a wavelet variance similar to the Allan variance, based on the Linear Regression (LR) of phase data. The PVAR relates to the Omega frequency counter, which is the topics of a companion article [the reference to the article, or to the ArXiv manuscript, will be provided later]. The PVAR wavelet spans over 2 tau, the same of the AVAR wavelet. After setting the theoretical framework, we analyze the degrees of freedom and the detection of weak noise processes in...
Yield, variance and spatial distribution of electron–hole...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Yield, variance and spatial distribution of electron–hole pairs in CsI. Yield, variance and spatial distribution of electron–hole pairs in CsI. Abstract: A Monte Carlo...
An efficient method to evaluate energy variances for extrapolation methods
G. Puddu
2012-01-03T23:59:59.000Z
The energy variance extrapolation method consists in relating the approximate energies in many-body calculations to the corresponding energy variances and inferring eigenvalues by extrapolating to zero variance. The method needs a fast evaluation of the energy variances. For many-body methods that expand the nuclear wave functions in terms of deformed Slater determinants, the best available method for the evaluation of energy variances scales with the sixth power of the number of single-particle states. We propose a new method which depends on the number of single-particle orbits and the number of particles rather than the number of single-particle states. We discuss as an example the case of ${}^4He$ using the chiral N3LO interaction in a basis consisting up to 184 single-particle states.
Optimization Online - Efficient Cardinality/Mean-Variance Portfolios
R. P. Brito
2012-03-03T23:59:59.000Z
Mar 3, 2012 ... Efficient Cardinality/Mean-Variance Portfolios. R. P. Brito(rpedro.brito ***at*** gmail.com) L. N. Vicente(lnv ***at*** mat.uc.pt). Abstract: A ...
Second order accurate variance estimation in poststratified two-stage sampling
Kim, Kyong Ryun
2007-09-17T23:59:59.000Z
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 are popular...
Quantum Fisher Information as the Convex Roof of Variance
Sixia Yu
2013-02-21T23:59:59.000Z
Quantum Fisher information places the fundamental limit to the accuracy of estimating an unknown parameter. Here we shall provide the quantum Fisher information an operational meaning: a mixed state can be so prepared that a given observable has the minimal averaged variance, which equals exactly to the quantum Fisher information for estimating an unknown parameter generated by the unitary dynamics with the given observable as Hamiltonian. In particular we shall prove that the quantum Fisher information is the convex roof of the variance, as conjectured by Toth and Petz based on numerical and analytical evidences, by constructing explicitly a pure-state ensemble of the given mixed state in which the averaged variance of a given observable equals to the quantum Fisher information.
Barlich, G.L.; Nasseri, S.S.
1990-01-01T23:59:59.000Z
Good decision-making in materials accounting requires a valid calculation of control limits and detection sensitivity for facilities handling special nuclear materials (SNM). A difficult aspect of this calculation is determining the appropriate variance and covariance values for the terms in the materials balance (MB) equation. Computer software such as MAVARIC (Materials Accounting VARIance Calculator) and PROFF (PROcessing and Fuel Facilities calculator) can efficiently select and combine variance terms. These programs determine the variance and covariance of an MB equation by first obtaining relations for the variance and covariance of each term in the MB equation through propagating instrument errors and then substituting the measured quantities and their uncertainties into these relations. MAVARIC is a custom spreadsheet used with the second release of LOTUS 1-2-3.** PROFF is a stand-alone menu-driven program requiring no commercial software. Programs such as MAVARIC and PROFF facilitate the complex calculations required to determine the detection sensitivity of an SNM facility. These programs can also be used to analyze materials accounting systems.
Estimation of the Wavelet Variance Using Reflection Boundary Conditions
Percival, Don
density function (SDF) for {Xt} (well-defined for processes with stationary increments) Â· if {Xt wavelet variance for FD processes as examples Â· if {Xt} has SDF SX(Â·), then Yt = Xt - Xt-1 has SDF SY (f FD() process if it possesses SDF given by SX(f) = 2 [4 sin2 (f)]- , |f| 1/2 where 2 > 0
TECHNICAL ADVANCE EVE (external variance estimation) increases statistical power
Buehlmann, Peter
TECHNICAL ADVANCE EVE (external variance estimation) increases statistical power for detecting Institute of Plant Sciences & ZurichÂBasel Plant Science Center, ETH Zurich, CH-8092 Zurich, Switzerland, our simulation studies suggest that even limited numbers of replicates will usually result in good
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
The relation of the Allan- and Delta-variance to the continuous wavelet transform
M. Zielinsky; J. Stutzki
1999-04-15T23:59:59.000Z
This paper is understood as a supplement to the paper by [Stutzki et al, 1998], where we have shown the usefulness of the Allan-variance and its higher dimensional generalization, the Delta-variance, for the characterization of molecular cloud structures. In this study we present the connection between the Allan- and Delta-variance and a more popular structure analysis tool: the wavelet transform. We show that the Allan- and Delta-variances are the variances of wavelet transform coefficients.
Non-local bispectra from super cosmic variance
Bayta?, Bekir; Nelson, Elliot; Park, Sohyun; Shandera, Sarah
2015-01-01T23:59:59.000Z
We present examples of non-Gaussian statistics that can induce bispectra matching local and non-local (including equilateral) templates in biased sub-volumes. We find cases where the biasing from coupling to long wavelength modes affects only the power spectrum, only the bispectrum or both. Our results suggest that ruling out multi-field scenarios is quite difficult: some measurements of the scalar correlations, including the shape of the bispectrum, can be consistent with single-clock predictions even when cosmic variance from super-horizon modes is at work. Furthermore, if observations of the density perturbations rule out single-clock inflation, we will face a serious cosmic variance obstacle in drawing any further conclusions about the particle physics origin of the scalar fluctuations.
Wolfe, Patrick J.
Impact of jumps on returns and realised variances: econometric analysis of time-deformed L In order to assess the effect of jumps on realised variance calculations, we study some of the econometric econometric work on realised variance. Keywords: Kalman filter, L´evy process, Long-memory, Quasi
Use of standard overhead variances as a management tool
Beasley, Robert C
1964-01-01T23:59:59.000Z
hour (Actual man-hours ? Achieved standard hours) x Standard overhead rate per hour. 3. A third method of analyzing overhead variances, if we can call it a method, is not to analyze them at all. This is all too common, but it is obviously very... cost applicable to the actual number of man or machine hours. 6 National Association of Cost Accountants, ~o. cit. , p. 87. D. "Capacity volume component, " or the amount of fixed cost underabsorbed (or overabsorbed) because the number of actual...
Optimization of radio astronomical observations using Allan variance measurements
R. Schieder; C. Kramer
2001-05-04T23:59:59.000Z
Stability tests based on the Allan variance method have become a standard procedure for the evaluation of the quality of radio-astronomical instrumentation. They are very simple and simulate the situation when detecting weak signals buried in large noise fluctuations. For the special conditions during observations an outline of the basic properties of the Allan variance is given, and some guidelines how to interpret the results of the measurements are presented. Based on a rather simple mathematical treatment clear rules for observations in ``Position-Switch'', ``Beam-'' or ``Frequency-Switch'', ``On-The-Fly-'' and ``Raster-Mapping'' mode are derived. Also, a simple ``rule of the thumb'' for an estimate of the optimum timing for the observations is found. The analysis leads to a conclusive strategy how to plan radio-astronomical observations. Particularly for air- and space-borne observatories it is very important to determine, how the extremely precious observing time can be used with maximum efficiency. The analysis should help to increase the scientific yield in such cases significantly.
Variance of the quantum dwell time for a nonrelativistic particle
Hahne, G. E. [NASA/Ames Research Center, M. S. 258-6, Moffett Field, California 94035 (United States)] [NASA/Ames Research Center, M. S. 258-6, Moffett Field, California 94035 (United States)
2013-01-15T23:59:59.000Z
Munoz, Seidel, and Muga [Phys. Rev. A 79, 012108 (2009)], following an earlier proposal by Pollak and Miller [Phys. Rev. Lett. 53, 115 (1984)] in the context of a theory of a collinear chemical reaction, showed that suitable moments of a two-flux correlation function could be manipulated to yield expressions for the mean quantum dwell time and mean square quantum dwell time for a structureless particle scattering from a time-independent potential energy field between two parallel lines in a two-dimensional spacetime. The present work proposes a generalization to a charged, nonrelativistic particle scattering from a transient, spatially confined electromagnetic vector potential in four-dimensional spacetime. The geometry of the spacetime domain is that of the slab between a pair of parallel planes, in particular, those defined by constant values of the third (z) spatial coordinate. The mean Nth power, N= 1, 2, 3, Horizontal-Ellipsis , of the quantum dwell time in the slab is given by an expression involving an N-flux-correlation function. All these means are shown to be nonnegative. The N= 1 formula reduces to an S-matrix result published previously [G. E. Hahne, J. Phys. A 36, 7149 (2003)]; an explicit formula for N= 2, and of the variance of the dwell time in terms of the S-matrix, is worked out. A formula representing an incommensurability principle between variances of the output-minus-input flux of a pair of dynamical variables (such as the particle's time flux and others) is derived.
Wu, Alan HB
2011-01-01T23:59:59.000Z
this article as: Wu: Drug metabolizing enzyme activitiesgenetic variances for drug of clinical pharmacogenomicPROTEOMICS Open Access Drug metabolizing enzyme activities
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
Frequency domain phase-resolved optical Doppler and Doppler variance tomography
Chen, Zhongping
), is capable of measuring micro- flows using the optical Doppler effect [1,2]. Early ODT systems were unableFrequency domain phase-resolved optical Doppler and Doppler variance tomography Lei Wang a phase-resolved optical Doppler tomography (ODT) was developed with Doppler variance imag- ing capability
Variances of the Average Numbers of Nucleotide Substitutions Within and Between Populations'
Nei, Masatoshi
Variances of the Average Numbers of Nucleotide Substitutions Within and Between Populations the variances of nucleotide diversity within pop- ulations and of nucleotide divergence between populations of the extent of DNA polymorphism is nucleotide diversity (z), which is defined as the average number of either
How the Weak Variance of Momentum Can Turn Out to be Negative
M. R. Feyereisen
2015-03-25T23:59:59.000Z
Weak values are average quantities,therefore investigating their associated variance is crucial in understanding their place in quantum mechanics. We develop the concept of a position-postselected weak variance of momentum as cohesively as possible, building primarily on material from Moyal (Mathematical Proceedings of the Cambridge Philosophical Society, Cambridge University Press, Cambridge, 1949) and Sonego (Found Phys 21(10):1135, 1991) . The weak variance is defined in terms of the Wigner function, using a standard construction from probability theory. We show this corresponds to a measurable quantity, which is not itself a weak value. It also leads naturally to a connection between the imaginary part of the weak value of momentum and the quantum potential. We study how the negativity of the Wigner function causes negative weak variances, and the implications this has on a class of `subquantum' theories. We also discuss the role of weak variances in studying determinism, deriving the classical limit from a variational principle.
How the Weak Variance of Momentum Can Turn Out to be Negative
Feyereisen, M R
2015-01-01T23:59:59.000Z
Weak values are average quantities,therefore investigating their associated variance is crucial in understanding their place in quantum mechanics. We develop the concept of a position-postselected weak variance of momentum as cohesively as possible, building primarily on material from Moyal (Mathematical Proceedings of the Cambridge Philosophical Society, Cambridge University Press, Cambridge, 1949) and Sonego (Found Phys 21(10):1135, 1991) . The weak variance is defined in terms of the Wigner function, using a standard construction from probability theory. We show this corresponds to a measurable quantity, which is not itself a weak value. It also leads naturally to a connection between the imaginary part of the weak value of momentum and the quantum potential. We study how the negativity of the Wigner function causes negative weak variances, and the implications this has on a class of `subquantum' theories. We also discuss the role of weak variances in studying determinism, deriving the classical limit from...
Liu, Gangjun; Qi, Wenjuan; Yu, Lingfeng; Chen, Zhongping
2011-01-01T23:59:59.000Z
The effect of sample movement on the color Doppler andmotion effect can be neglected here. The Doppler variance
Internal resistance variances in lithium-ion batteries and implications in manufacturing
Gogoana, Radu
2012-01-01T23:59:59.000Z
This thesis addresses issues in manufacturing that lead to cell DC internal resistance (DCIR) variance, provides an overview of generally accepted cell degradation mechanisms and modeling techniques associated with IR as ...
Permits and Variances for Solar Panels, Calculation of Impervious Cover (Maryland)
Broader source: Energy.gov [DOE]
In May 2012 Maryland enacted legislation stating that any calculation of "impervious surface" required by state or local authorities as part of a permit or variance relating to zoning, construction...
Transient Responses to Rapid Changes in Mean and Variance in Spiking Models
Khorsand, Peyman; Chance, Frances
2008-01-01T23:59:59.000Z
features of IF model responses to steps in input signals:neuron firing rates in response to steps in mean and noise.variance (see Decaying Response to Step Function). In the
Epistasis Is a Major Determinant of the Additive Genetic Variance in Mimulus guttatus
Monnahan, Patrick J.; Kelly, John K.
2015-05-11T23:59:59.000Z
to describe both the effects of individual genes as well as the genetic variance com- ponents of populations (additive, dominance, and epistatic). It has long been known that high additive genetic variance does not imply additive gene action [11], a conclusion... questions unanswered. For instance, do interac- tions among genes tend to increase or decrease VA of traits, on average? As allele frequencies change in response to selection, does epistasis accelerate or dampen the corresponding change in VA? For a...
THE COLUMN DENSITY VARIANCE IN TURBULENT INTERSTELLAR MEDIA: A FRACTAL MODEL APPROACH
Seon, Kwang-Il, E-mail: kiseon@kasi.re.kr [Korea Astronomy and Space Science Institute, Daejeon 305-348 (Korea, Republic of); Astronomy and Space Science Major, University of Science and Technology, Daejeon 305-350 (Korea, Republic of)
2012-12-20T23:59:59.000Z
Fractional Brownian motion structures are used to investigate the dependency of column density variance ({sigma}{sup 2}{sub lnN}) in the turbulent interstellar medium on the variance of three-dimensional density ({sigma}{sup 2}{sub ln{rho}}) and the power-law slope of the density power spectrum. We provide quantitative expressions to infer the three-dimensional density variance, which is not directly observable, from the observable column density variance and spectral slope. We also investigate the relationship between the column density variance and sonic Mach number (M{sub s}) in the hydrodynamic (HD) regime by assuming the spectral slope and density variance to be functions of sonic Mach number, as obtained from the HD turbulence simulations. They are related by the expression {sigma}{sup 2}{sub lnN} = A{sigma}{sub ln{rho}} {sup 2} = Aln (1 + b {sup 2} M{sup 2}{sub s}), suggested by Burkhart and Lazarian for the magnetohydrodynamic case. The proportional constant A varies from Almost-Equal-To 0.2 to Almost-Equal-To 0.4 in the HD regime as the turbulence forcing parameter b increases from 1/3 (purely solenoidal forcing) to 1 (purely compressive forcing). It is also discussed that the parameter A is lowered in the presence of a magnetic field.
Variance estimates for transport in stochastic media by means of the master equation
Pautz, S. D.; Franke, B. C. [Sandia National Laboratories, Albuquerque, NM 87185-1179 (United States); Prinja, A. K. [Department of Chemical and Nuclear Engineering, University of New Mexico, Albuquerque, NM 87131 (United States)
2013-07-01T23:59:59.000Z
The master equation has been used to examine properties of transport in stochastic media. It has been shown previously that not only may the Levermore-Pomraning (LP) model be derived from the master equation for a description of ensemble-averaged transport quantities, but also that equations describing higher-order statistical moments may be obtained. We examine in greater detail the equations governing the second moments of the distribution of the angular fluxes, from which variances may be computed. We introduce a simple closure for these equations, as well as several models for estimating the variances of derived transport quantities. We revisit previous benchmarks for transport in stochastic media in order to examine the error of these new variance models. We find, not surprisingly, that the errors in these variance estimates are at least as large as the corresponding estimates of the average, and sometimes much larger. We also identify patterns in these variance estimates that may help guide the construction of more accurate models. (authors)
The stability of spectroscopic instruments: A unified Allan variance computation scheme
Volker Ossenkopf
2007-12-28T23:59:59.000Z
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.
Georg A. Gottwald; Lewis Mitchell; Sebastian Reich
2011-08-30T23:59:59.000Z
We consider the problem of an ensemble Kalman filter when only partial observations are available. In particular we consider the situation where the observational space consists of variables which are directly observable with known observational error, and of variables of which only their climatic variance and mean are given. To limit the variance of the latter poorly resolved variables we derive a variance limiting Kalman filter (VLKF) in a variational setting. We analyze the variance limiting Kalman filter for a simple linear toy model and determine its range of optimal performance. We explore the variance limiting Kalman filter in an ensemble transform setting for the Lorenz-96 system, and show that incorporating the information of the variance of some un-observable variables can improve the skill and also increase the stability of the data assimilation procedure.
Stochastic mixing model with power law decay of variance Sergei Fedotov,1
Fedotov, Sergei
-Planck models 8 , the stochastic mixing fre- quency model 9 , integral models 10 , and the Euclidean minimum spanning tree model EMST 11 . Reviews of these can be found in 1,2 . There are two different laws governingStochastic mixing model with power law decay of variance Sergei Fedotov,1 Matthias Ihme,2 and Heinz
Mean-Variance Optimal Linear Precoders for Random MISO Broadcast Channels
Lim, Teng Joon
Mean-Variance Optimal Linear Precoders for Random MISO Broadcast Channels Alon Shalev Housfater the problem of designing linear pre- coders for Gaussian multiple input, single output (MISO) broad- cast (BC and constraint functions. I. INTRODUCTION Random MISO BC channels are powerful models for the practical scenario
Paris-Sud XI, Université de
Nonparametric Stochastic Modeling Of Linear Systems With Pre- scribed Variance Of Several Natural of the inverse of the random matrix. The efficient simulation of sam- ples of random matrices according matrices, maximum entropy, probabilistic model 1 INTRODUCTION The stochastic modeling and simulation
Empirical Distributions of DFT-Domain Speech Coefficients Based on Estimated Speech Variances
obtained from a short-time discrete Fourier transform (DFT) in the context of speech enhancement frameworks. The distribution of clean speech spectral coefficients is of great importance for speech enhancement algorithmsEmpirical Distributions of DFT-Domain Speech Coefficients Based on Estimated Speech Variances Timo
Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method
Rajnarayan, Dev
2008-01-01T23:59:59.000Z
In this paper, we examine the CE method in the broad context of Monte Carlo Optimization (MCO) and Parametric Learning (PL), a type of machine learning. A well-known overarching principle used to improve the performance of many PL algorithms is the bias-variance tradeoff. This tradeoff has been used to improve PL algorithms ranging from Monte Carlo estimation of integrals, to linear estimation, to general statistical estimation. Moreover, as described by, MCO is very closely related to PL. Owing to this similarity, the bias-variance tradeoff affects MCO performance, just as it does PL performance. In this article, we exploit the bias-variance tradeoff to enhance the performance of MCO algorithms. We use the technique of cross-validation, a technique based on the bias-variance tradeoff, to significantly improve the performance of the Cross Entropy (CE) method, which is an MCO algorithm. In previous work we have confirmed that other PL techniques improve the perfomance of other MCO algorithms. We conclude that ...
Radar Network Scanning Coordination Based on Ensemble Transform Kalman Filtering Variance
White, Luther
Radar Network Scanning Coordination Based on Ensemble Transform Kalman Filtering Variance an ensemble Kalman filter is used as a criterion with which to op- timize radar network scanning strategies, is a function of the retrieval scanning parameters. It is shown that the mapping from radar parameters
Supertrack Monte Carlo variance reduction experience for non-Boltzmann tallies
Estes, G.P.; Booth, T.E.
1995-02-01T23:59:59.000Z
This paper applies a recently developed variance reduction technique to the first principles calculations of photon detector responses. This technique makes possible the direct comparison of pulse height calculations with measurements without the need for unfolding techniques. Comparisons are made between several experiments and the calculations to demonstrate the utility of the supertrack Monte Carlo technique for reproducing and interpreting experimental count rate spectra.
Numerical errors in the computation of subfilter scalar variance in large eddy simulations
Raman, Venkat
Mechanics, The University of Texas at Austin, Austin, Texas 78712, USA 2 Center for Turbulence Research of specific model forms. Like other subfilter quantities, such as kinetic energy, subfilter variance can-rule manipulations used to derive convection, diffusion, and production terms associated with the square
Measuring switching processes in financial markets with the Mean-Variance spin glass approach
Jurczyk, Jan
2015-01-01T23:59:59.000Z
In this article we use the Mean-Variance Model in order to measure the current market state. In our study we take the approach of detecting the overall alignment of portfolios in the spin picture. The projection to the ground-states enables us to use physical observables in order to describe the current state of the explored market. The defined magnetization of portfolios shows cursor effects, which we use to detect turmoils.
Variance analysis in the quality control of ready mixed concrete in a major structure
Valle Aguilar, Jorge Luis
1984-01-01T23:59:59.000Z
the same quality of concrete. 5. The use of different types of lightweight aggregates with and without fly ash did not seem to affect variability in the 3000 psi (20. 7 Npa) strength level. 6. Lower compressive strength results observed during... Plot of 28-day strengths versus 7-day strengths The 7500 Psi Strength Level General 40 42 Compressive strength versus water-cement ratio Compressive strength versus slump Variance analysis for the 7500 psi strength variations . 42 43 46 Oua1...
Dresser, George Brayton
1969-01-01T23:59:59.000Z
are pre- ;ected. The operating ratio is defined and its use for regulatory pur- poses discussed. Procedures for the estimation of operating ratios from CTS and cost data are explained. An approximate formula for the variance of the ratio of two random... 31 TEXAS INTRASTATE TRAFFIC 1967 (Operating Ratio by Actual Weight of Shipment). . 32 TEXAS INTRASTATE TRAFFIC 1967 (Operating Ratio by Number Miles Shipm nt Moved) 33 CHAPTER I STATEMENT QF THE PRGBLEM 1. 1 Introduction The Southwestern...
Liu, Qinyan
2005-08-29T23:59:59.000Z
...................................................... 30 1 CHAPTER I INTRODUCTION Dimensional integrity is a major quality concern in many discrete-part manufacturing processes. In the automotive and aviation industries, for instance, dimensional problems contribute to about two... of the requirements for the degree of MASTER OF SCIENCE May 2004 Major Subject: Industrial Engineering OPTIMAL COORDINATE SENSOR PLACEMENTS FOR ESTIMATING MEAN AND VARIANCE COMPONENTS OF VARIATION SOURCES A Thesis by QINYAN LIU...
Structure analysis of simulated molecular clouds with the Delta-variance
Bertram, Erik; Glover, Simon C O
2015-01-01T23:59:59.000Z
We employ the Delta-variance analysis and study the turbulent gas dynamics of simulated molecular clouds (MCs). Our models account for a simplified treatment of time-dependent chemistry and the non-isothermal nature of the gas. We investigate simulations using three different initial mean number densities of n_0 = 30, 100 and 300 cm^{-3} that span the range of values typical for MCs in the solar neighbourhood. Furthermore, we model the CO line emission in a post-processing step using a radiative transfer code. We evaluate Delta-variance spectra for centroid velocity (CV) maps as well as for integrated intensity and column density maps for various chemical components: the total, H2 and 12CO number density and the integrated intensity of both the 12CO and 13CO (J = 1 -> 0) lines. The spectral slopes of the Delta-variance computed on the CV maps for the total and H2 number density are significantly steeper compared to the different CO tracers. We find slopes for the linewidth-size relation ranging from 0.4 to 0....
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
A Model-Free No-arbitrage Price Bound for Variance Options
Bonnans, J. Frederic, E-mail: frederic.bonnans@inria.fr [Ecole Polytechnique, INRIA-Saclay (France); Tan Xiaolu, E-mail: xiaolu.tan@polytechnique.edu [Ecole Polytechnique, CMAP (France)
2013-08-01T23:59:59.000Z
We suggest a numerical approximation for an optimization problem, motivated by its applications in finance to find the model-free no-arbitrage bound of variance options given the marginal distributions of the underlying asset. A first approximation restricts the computation to a bounded domain. Then we propose a gradient projection algorithm together with the finite difference scheme to solve the optimization problem. We prove the general convergence, and derive some convergence rate estimates. Finally, we give some numerical examples to test the efficiency of the algorithm.
Goutte, Stéphane; Russo, Francesco
2012-01-01T23:59:59.000Z
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.
Temporal and Spatial Turbulent Spectra of MHD Plasma and an Observation of Variance Anisotropy
Schaffner, D A; Lukin, V S
2014-01-01T23:59:59.000Z
The nature of MHD turbulence is analyzed through both temporal and spatial magnetic fluctuation spectra. A magnetically turbulent plasma is produced in the MHD wind-tunnel configuration of the Swarthmore Spheromak Experiment (SSX). The power of magnetic fluctuations is projected into directions perpendicular and parallel to a local mean field; the ratio of these quantities shows the presence of variance anisotropy which varies as a function of frequency. Comparison amongst magnetic, velocity, and density spectra are also made, demonstrating that the energy of the turbulence observed is primarily seeded by magnetic fields created during plasma production. Direct spatial spectra are constructed using multi-channel diagnostics and are used to compare to frequency spectra converted to spatial scales using the Taylor Hypothesis. Evidence for the observation of dissipation due to ion inertial length scale physics is also discussed as well as the role laboratory experiment can play in understanding turbulence typica...
No-migration variance petition: Draft. Volume 4, Appendices DIF, GAS, GCR (Volume 1)
NONE
1995-05-31T23:59:59.000Z
The Department of Energy is responsible for the disposition of transuranic (TRU) waste generated by national defense-related activities. Approximately 2.6 million cubic feet of the se waste have been generated and are stored at various facilities across the country. The Waste Isolation Pilot Plant (WIPP), was sited and constructed to meet stringent disposal requirements. In order to permanently dispose of TRU waste, the DOE has elected to petition the US EPA for a variance from the Land Disposal Restrictions of RCRA. This document fulfills the reporting requirements for the petition. This report is volume 4 of the petition which presents details about the transport characteristics across drum filter vents and polymer bags; gas generation reactions and rates during long-term WIPP operation; and geological characterization of the WIPP site.
Takahiro Mizusaki; Noritaka Shimizu
2012-01-27T23:59:59.000Z
We propose a new variational Monte Carlo (VMC) method with an energy variance extrapolation for large-scale shell-model calculations. This variational Monte Carlo is a stochastic optimization method with a projected correlated condensed pair state as a trial wave function, and is formulated with the M-scheme representation of projection operators, the Pfaffian and the Markov-chain Monte Carlo (MCMC). Using this method, we can stochastically calculate approximated yrast energies and electro-magnetic transition strengths. Furthermore, by combining this VMC method with energy variance extrapolation, we can estimate exact shell-model energies.
Broader source: Energy.gov [DOE]
Memorandum Request for Concurrence on firee Temporary Variance Applications Regarding Fire Protection and Pressure Safety at the Oak Ridge National Laboratory
Broader source: Energy.gov [DOE]
Approval of a Permanent Variance Regarding Fire Safety in Selected Areas of 221-H Canyon at the Savannah River Site UNDER SECRETARY OF ENERGY
Broader source: Energy.gov [DOE]
Approval of a Permanent Variance Regarding Sprinklers and Fire Boundaries in Selected Areas of 22 1 -H Canyon at the Savannah River Site
Pichugina, Yelena L.; Banta, Robert M.; Kelley, Neil D.; Jonkman, Bonnie J.; Tucker, Sara C.; Newsom, Rob K.; Brewer, W. A.
2008-08-01T23:59:59.000Z
Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--has been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAA’s High Resolution Doppler Lidar (HRDL), which have been shown to be numerically equivalent to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance ?u2 were computed from HRDL measurements of the line-of-sight (LOS) velocity using a technique described in Banta, et al. (2002). The technique was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. It then describes several series of averaging tests that produced the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal velocity variance ?u2. The results show high correlation (0.71-0.97) of the mean U and average wind speed measured by sodar and in-situ instruments, independent of sampling strategies and averaging procedures. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging techniques.
Gottwald, Georg A.
Controlling Overestimation of Error Covariance in Ensemble Kalman Filters with Sparse Observations: A Variance-Limiting Kalman Filter GEORG A. GOTTWALD AND LEWIS MITCHELL School of Mathematics and Statistics of an ensemble Kalman filter when only partial observations are available is considered. In particular
Bush, B.; Jenkin, T.; Lipowicz, D.; Arent, D. J.; Cooke, R.
2012-01-01T23:59:59.000Z
Does large scale penetration of renewable generation such as wind and solar power pose economic and operational burdens on the electricity system? A number of studies have pointed to the potential benefits of renewable generation as a hedge against the volatility and potential escalation of fossil fuel prices. Research also suggests that the lack of correlation of renewable energy costs with fossil fuel prices means that adding large amounts of wind or solar generation may also reduce the volatility of system-wide electricity costs. Such variance reduction of system costs may be of significant value to consumers due to risk aversion. The analysis in this report recognizes that the potential value of risk mitigation associated with wind generation and natural gas generation may depend on whether one considers the consumer's perspective or the investor's perspective and whether the market is regulated or deregulated. We analyze the risk and return trade-offs for wind and natural gas generation for deregulated markets based on hourly prices and load over a 10-year period using historical data in the PJM Interconnection (PJM) from 1999 to 2008. Similar analysis is then simulated and evaluated for regulated markets under certain assumptions.
About the probability distribution of a quantity with given mean and variance
Olivares, Stefano
2012-01-01T23:59:59.000Z
Supplement 1 to GUM (GUM-S1) recommends the use of maximum entropy principle (MaxEnt) in determining the probability distribution of a quantity having specified properties, e.g., specified central moments. When we only know the mean value and the variance of a variable, GUM-S1 prescribes a Gaussian probability distribution for that variable. When further information is available, in the form of a finite interval in which the variable is known to lie, we indicate how the distribution for the variable in this case can be obtained. A Gaussian distribution should only be used in this case when the standard deviation is small compared to the range of variation (the length of the interval). In general, when the interval is finite, the parameters of the distribution should be evaluated numerically, as suggested by I. Lira, Metrologia, 46 L27 (2009). Here we note that the knowledge of the range of variation is equivalent to a bias of the distribution toward a flat distribution in that range, and the principle of mini...
Waste Isolation Pilot Plant No-Migration Variance Petition. Revision 1, Volume 1
Hunt, Arlen
1990-03-01T23:59:59.000Z
The purpose of the WIPP No-Migration Variance Petition is to demonstrate, according to the requirements of RCRA {section}3004(d) and 40 CFR {section}268.6, that to a reasonable degree of certainty, there will be no migration of hazardous constituents from the facility for as long as the wastes remain hazardous. The DOE submitted the petition to the EPA in March 1989. Upon completion of its initial review, the EPA provided to DOE a Notice of Deficiencies (NOD). DOE responded to the EPA`s NOD and met with the EPA`s reviewers of the petition several times during 1989. In August 1989, EPA requested that DOE submit significant additional information addressing a variety of topics including: waste characterization, ground water hydrology, geology and dissolution features, monitoring programs, the gas generation test program, and other aspects of the project. This additional information was provided to EPA in January 1990 when DOE submitted Revision 1 of the Addendum to the petition. For clarity and ease of review, this document includes all of these submittals, and the information has been updated where appropriate. This document is divided into the following sections: Introduction, 1.0: Facility Description, 2.0: Waste Description, 3.0; Site Characterization, 4.0; Environmental Impact Analysis, 5.0; Prediction and Assessment of Infrequent Events, 6.0; and References, 7.0.
Dina Chernikova; Kåre Axell; Senada Avdic; Imre Pázsit; Anders Nordlund
2015-01-23T23:59:59.000Z
Two versions of the neutron-gamma variance to mean (Feynman-alpha method or Feynman-Y function) formula for either gamma detection only or total neutron-gamma detection, respectively, are derived and compared in this paper. The new formulas have a particular importance for detectors of either gamma photons or detectors sensitive to both neutron and gamma radiation. If applied to a plastic or liquid scintillation detector, the total neutron-gamma detection Feynman-Y expression corresponds to a situation where no discrimination is made between neutrons and gamma particles. The gamma variance to mean formulas are useful when a detector of only gamma radiation is used or when working with a combined neutron-gamma detector at high count rates. The theoretical derivation is based on the Chapman-Kolmogorov equation with inclusion of general reactions and passage intensities for neutrons and gammas, but with the inclusion of prompt reactions only. A one energy group approximation is considered. The comparison of the two different theories is made by using reaction intensities obtained in MCNPX simulations with a simplified geometry for two scintillation detectors and a 252Cf-source enclosed in a steel container. In addition, the variance to mean ratios, neutron, gamma and total neutron-gamma, are evaluated experimentally for a weak 252Cf neutron-gamma source in a steel container, a 137Cs random gamma source and a 22Na correlated gamma source. Due to the focus being on the possibility of using neutron-gamma variance to mean theories for both reactor and safeguards applications, we limited the present study to the general analytical expressions for Feynman-Y formulas.
Cavalié, Olivier
2015-01-01T23:59:59.000Z
The Allan variance was introduced fifty years ago for analyzing the stability of frequency standards. Beside its metrological interest, it is also an estimator of the large trends of the power spectral density (PSD) of frequency deviation. For instance, the Allan variance is able to discriminate different types of noise characterized by different power laws in the PSD. But, it was also used in other fields: accelerometry, geophysics, geodesy, astrophysics and even finances! However, it seems that up to now, it has been exclusively applied for time series analysis. We propose here to use the Allan variance onto spatial data. Interferometric synthetic aperture radar (InSAR) is used in geophysics to image ground displacements in space (over the SAR image spatial coverage) and in time thank to the regular SAR image acquisitions by dedicated satellites. The main limitation of the technique is the atmospheric disturbances that affect the radar signal while traveling from the sensor to the ground and back. In this p...
Pichugina, Y. L.; Banta, R. M.; Kelley, N. D.; Jonkman, B. J.; Tucker, S. C.; Newsom, R. K.; Brewer, W. A.
2008-08-01T23:59:59.000Z
Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--have been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAA's high-resolution Doppler lidar (HRDL), which have been shown to be approximately equal to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance {sigma}2u were computed from HRDL measurements of the line-of-sight (LOS) velocity using a method described by Banta et al., which uses an elevation (vertical slice) scanning technique. The method was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. The results for the mean U and mean wind speed measured by sodar and in situ instruments for all nights of LLLJP show high correlation (0.71-0.97), independent of sampling strategies and averaging procedures, and correlation coefficients consistently >0.9 for four high-wind nights, when the low-level jet speeds exceeded 15 m s{sup -1} at some time during the night. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging parameters. Several series of averaging tests are described, to find the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal-velocity variance {sigma}{sup 2}{sub u}. Because of the nonstationarity of the SBL data, the best results were obtained when the velocity data were first averaged over intervals of 1 min, and then further averaged over 3-15 consecutive 1-min intervals, with best results for the 10- and 15-min averaging periods. For these cases, correlation coefficients exceeded 0.9. As a part of the analysis, Eulerian integral time scales ({tau}) were estimated for the four high-wind nights. Time series of {tau} through each night indicated erratic behavior consistent with the nonstationarity. Histograms of {tau} showed a mode at 4-5 s, but frequent occurrences of larger {tau} values, mostly between 10 and 100 s.
Bilayer Structure and Lipid Dynamics in a Model Stratum Corneum...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
behavior over the 200 ns time scale is evident in systems at 340 K, with cholesterol diffusion being enhanced with increased oleic acid. Importantly, cholesterol and other...
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeeding accessSpeeding access(SC)Gas andSurface;|
Jewson, S
2007-01-01T23:59:59.000Z
One way to predict hurricane numbers would be to predict sea surface temperature, and then predict hurricane numbers as a function of the predicted sea surface temperature. For certain parametric models for sea surface temperature and the relationship between sea surface temperature and hurricane numbers, closed-form solutions exist for the mean and the variance of the number of predicted hurricanes, and for the standard error on the mean. We derive a number of such expressions.
NONE
1995-11-01T23:59:59.000Z
The module reviews the regulations governing rulemaking petitions, specifies who may petition EPA to modify or revoke any provision in 40 CFR Parts 260 through 265 and 268, and what may be changed through the petition process. It lists the different components of a petition, and the steps in the petitioning, review, and decision process. It also specifies the applicability of equivalent methods and states the information needed for this type of petition. It describes the process in petitioning for a new or equivalent method. It specifies the purpose of delisting, what can be delisted, and the implications of a delisting petition. It outlines the delisting procedures and provides citations for them. It cites the federal registers that describe the EPA`s composite model for landfills (EPACML) which EPA currently uses as a tool in evaluating delisting petitions and identifies the types of variances granted.
E. Conte; A. Khrennikov; A. Federici; J. P. Zbilut
2007-11-06T23:59:59.000Z
We developed a new method for analysis of fundamental brain waves as recorded by EEG. To this purpose we introduce a Fractal Variance Function that is based on the calculation of the variogram. The method is completed by using Random Matrix Theory. Some examples are given.
Kainulainen, Jouni
2012-01-01T23:59:59.000Z
Measuring the mass distribution of infrared dark clouds (IRDCs) over the wide dynamic range of their column densities is a fundamental obstacle in determining the initial conditions of high-mass star formation and star cluster formation. We present a new technique to derive high-dynamic-range, arcsecond-scale resolution column density data for IRDCs and demonstrate the potential of such data in measuring the density variance - sonic Mach number relation in molecular clouds. We combine near-infrared data from the UKIDSS/Galactic Plane Survey with mid-infrared data from the Spitzer/GLIMPSE survey to derive dust extinction maps for a sample of ten IRDCs. We then examine the linewidths of the IRDCs using 13CO line emission data from the FCRAO/Galactic Ring Survey and derive a column density - sonic Mach number relation for them. For comparison, we also examine the relation in a sample of nearby molecular clouds. The presented column density mapping technique provides a very capable, temperature independent tool f...
Rowat, Amy C.
2006-01-01T23:59:59.000Z
deuterium nuclear magnetic resonance to monitor such multilamellar SC dispersions containing either, is not clear. Some have speculated that cis-unsaturated fatty acids such as OA `fluidize' SC lipids
Efficient Cardinality/Mean-Variance Portfolios
2012-03-02T23:59:59.000Z
Mar 2, 2012 ... security i is described by a random variable Ri, whose average can be computed ..... More information on these security sectors (or portfolios of ...
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 DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG - ORDERSTATE0-1 CHAPTER1
Dina Chernikova; Wang Ziguan; Imre Pazsit; Lenard Pal
2014-08-07T23:59:59.000Z
This paper presents a full derivation of the variance-to-mean or Feynman-alpha formula in a two energy group and two spatial region-treatment. The derivation is based on the Chapman - Kolmogorov equation with the inclusion of all possible neutron reactions and passage intensities between the two regions. In addition, the two-group one-region and the two-region one-group Feynman-alpha formulas, treated earlier in the literature for special cases, are extended for further types and positions of detectors.We focus on the possibility of using these theories for accelerator-driven systems and applications in the safeguards domain, such as the differential self-interrogation method and the differential die-away method. This is due to the fact that the predictions from the models which are currently used do not fully describe all the effects in the heavily reflected fast or thermal systems. Therefore, in conclusion a comparative study of the two-group two-region, the two-group one-region, the one-group two-region and the one-group one-region Feynman-alpha models is discussed.
Estimation of the Wavelet Variance Using Reflection Boundary Conditions
Percival, Don
(SDF) for {X t } (wellÂdefined for processes with stationary increments) . if {X t } stationary process t } has SDF SX (Â·), then Y t = X t -X t-1 has SDF S Y (f ) = 4 sin 2 (#f )S X (f ) since 4 sin 2 (#f ) is squared gain function for first di#erence filter . {X t } called FD(#) process if it possesses SDF given
Treatability Variance Petition for SRS Raschig Ring Packing Material
Hagstrom, T.
1999-08-31T23:59:59.000Z
The Department of Energy's Savannah River Site (SRS) is a vital component in the nation's nuclear weapons complex. When in full operation, SRS produced nuclear material by manufacturing fuel and target components that were then irradiated in nuclear reactors.
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
Global variance reduction for Monte Carlo reactor physics calculations
Zhang, Q.; Abdel-Khalik, H. S. [Department of Nuclear Engineering, North Carolina State University, P.O. Box 7909, Raleigh, NC 27695-7909 (United States)
2013-07-01T23:59:59.000Z
Over the past few decades, hybrid Monte-Carlo-Deterministic (MC-DT) techniques have been mostly focusing on the development of techniques primarily with shielding applications in mind, i.e. problems featuring a limited number of responses. This paper focuses on the application of a new hybrid MC-DT technique: the SUBSPACE method, for reactor analysis calculation. The SUBSPACE method is designed to overcome the lack of efficiency that hampers the application of MC methods in routine analysis calculations on the assembly level where typically one needs to execute the flux solver in the order of 10{sup 3}-10{sup 5} times. It places high premium on attaining high computational efficiency for reactor analysis application by identifying and capitalizing on the existing correlations between responses of interest. This paper places particular emphasis on using the SUBSPACE method for preparing homogenized few-group cross section sets on the assembly level for subsequent use in full-core diffusion calculations. A BWR assembly model is employed to calculate homogenized few-group cross sections for different burn-up steps. It is found that using the SUBSPACE method significant speedup can be achieved over the state of the art FW-CADIS method. While the presented speed-up alone is not sufficient to render the MC method competitive with the DT method, we believe this work will become a major step on the way of leveraging the accuracy of MC calculations for assembly calculations. (authors)
Optimizing inventory levels using financial, lifecycle and forecast variance data
Hwang, Irene S
2007-01-01T23:59:59.000Z
Significant inventory write-offs have recently plagued ATI Technologies, a world leader in graphics and media processors. ATI's product-centric culture has long deterred attention from supply chain efficiency. Given that ...
Variance Reduction Techniques for Implicit Monte Carlo Simulations
Landman, Jacob Taylor
2013-09-19T23:59:59.000Z
The Implicit Monte Carlo (IMC) method is widely used for simulating thermal radiative transfer and solving the radiation transport equation. During an IMC run a grid network is constructed and particles are sourced into the problem to simulate...
Alternating direction method of multipliers for sparse zero-variance ...
BrendanAmesandMingyiHong
2014-01-21T23:59:59.000Z
Jan 21, 2014 ... discriminant analysis, where discriminant vectors are identified in the null space of .... dimensional space such that the projected class means are well separated, ...... Journal of Multivariate Analysis, 97(6):1382–1408, 2006. 7.
A computer program for maximum likelihood estimation of variance components
Hays, John Howard
1967-01-01T23:59:59.000Z
) C ???????? ???????? X-Z(Z-Z+f)?+(-I ) ???????? Cl?SORT(GAM(f? IC3i I 002003K I ~ fTOT IF(K ~ GTs ITO( IC3 ? C1~8QRT(GAM(IC2 )) IC3?IC2 I F (KyEQo I TO ( I C2 & ) I C2? I C2+ I 2003 XZ(J)~XZ(J)+FLOAT(IXPU(K))?CI?X(K) 2002 CONT I NUE WRI TF...}&%4}(. %}&4 444154444 X-Z(Z-Zp I ) 44 ( I } 7 X %%44%444%% C }}}&%%}}}}44 00200 6K'= I ~ I T OT IF(K GT ~ (TO( IC3) )Cl SORT(GAM(IC2) ) IC3~IC2 IF(KsEQi )TO( IC2 )) IC2= I'C2+I 2006 XA(J) XA (J)+FLOAT( IXPU(K) )4CI+XZ (K ) 2005 CONTINUE WR I TE t 8...
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
Johnson, Rie
) - 0.5L w - w 2 i(w ) (w - w ), (5) and convex; and P(w) is strongly convex P(w) - P(w ) - 0.5 w - w 2 2 P(w ) (w - w ), (6) where L 0. As long as we pick t as a constant L, we have linear problem min P(w), P(w) := 1 n n i=1 i(w). (1) For example, given a sequence of n training examples (x1, y1
The minimum variance of the squared error adaptive algorithm
Gray, Steven Deward
1986-01-01T23:59:59.000Z
will be remembered. 41 Output (e&)) jg d(k) I I I kd(k) 6 d(k) p, d(k) ned(k) ~- d(k) Input (e(k)) Fig. 14 T')te t)natttization rnle user) nt ADP(". t). 42 For example, an eight level uniform symmetric quantizer udll have four M values corresponding...
Procedures in statistical design and analysis of variance
McGarrah, James Eugene
1957-01-01T23:59:59.000Z
Pksfaaay Sw0 a at Baba ??F 1ugtaeLtve Pa4hhee V. AypeadSa VX ICbi4~yqyhg ~ Claeakf teatime ~~& CLaaektiedka %dka Vs 584? 8g Teide Q feh3e M %@do ~ %Ms X3s %aQe ~ f~eAmssC V~ 8he ~eAwatba Aea3yats ef Naa4eee %kihe 5WiWA)$84 VIN444M %pgsyheughga... Is&wyssct that 6nf tcesefosceticn vk31 be seesesssy'? %0 rccpsstrrsct Le desLNssd Le exch a aume that ths basis aeaecptions sill br set. The crest ewer fault In ace sar~ ef mxiseos Ls the lech ef ie doyssdraco ef ths oswc~al ercese Jlad ?s bee bere...
Diffusion theory The mean and variance function for discrete processes
Tufto, Jarle
and = var(St). It is well known that this approximation is remarkably good, even for moderate values of t that are continuous in the state variable as well as in time. The properties of such processes will be completely, which means that the form of the distribution of the St has practically no effect on the process Xt
Estimating pixel variances in the scenes of staring sensors
Simonson, Katherine M. (Cedar Crest, NM); Ma, Tian J. (Albuquerque, NM)
2012-01-24T23:59:59.000Z
A technique for detecting changes in a scene perceived by a staring sensor is disclosed. The technique includes acquiring a reference image frame and a current image frame of a scene with the staring sensor. A raw difference frame is generated based upon differences between the reference image frame and the current image frame. Pixel error estimates are generated for each pixel in the raw difference frame based at least in part upon spatial error estimates related to spatial intensity gradients in the scene. The pixel error estimates are used to mitigate effects of camera jitter in the scene between the current image frame and the reference image frame.
Estimating the Variance of Query Responses in Hybrid Bayesian Nets
Greiner, Russell
) Yasin Abbasi-Yadkori, Russ Greiner, Bret Hoehn Dept of Computing Science University of Alberta Peter
Variance Reduction Techniques for Implicit Monte Carlo Simulations
Landman, Jacob Taylor
2013-09-19T23:59:59.000Z
The Implicit Monte Carlo (IMC) method is widely used for simulating thermal radiative transfer and solving the radiation transport equation. During an IMC run a grid network is constructed and particles are sourced into the problem to simulate...
FEMP ESPC Best Practices: Agency Plan and Variances
Broader source: Energy.gov [DOE]
Document serves as a checklist for tracking agency use of Federal Energy Management Program energy savings performance contracts (ESPC) best practices.
How to measure redshift-space distortions without sample variance
Patrick McDonald; Uros Seljak
2008-10-02T23:59:59.000Z
We show how to use multiple tracers of large-scale density with different biases to measure the redshift-space distortion parameter beta=f/b=(dlnD/dlna)/b (where D is the growth rate and a the expansion factor), to a much better precision than one could achieve with a single tracer, to an arbitrary precision in the low noise limit. In combination with the power spectrum of the tracers this allows a much more precise measurement of the bias-free velocity divergence power spectrum, f^2 P_m - in fact, in the low noise limit f^2 P_m can be measured as well as would be possible if velocity divergence was observed directly, with rms improvement factor ~[5.2(beta^2+2 beta+2)/beta^2]^0.5 (e.g., ~10 times better than a single tracer for beta=0.4). This would allow a high precision determination of f D as a function of redshift with an error as low as 0.1%. We find up to two orders of magnitude improvement in Figure of Merit for the Dark Energy equation of state relative to Stage II, a factor of several better than other proposed Stage IV Dark Energy surveys. The ratio b_2/b_1 will be determined with an even greater precision than beta, producing, when measured as a function of scale, an exquisitely sensitive probe of the onset of non-linear bias. We also extend in more detail previous work on the use of the same technique to measure non-Gaussianity. Currently planned redshift surveys are typically designed with signal to noise of unity on scales of interest, and are not optimized for this technique. Our results suggest that this strategy may need to be revisited as there are large gains to be achieved from surveys with higher number densities of galaxies.
A MEAN-VARIANCE PORTFOLIO OPTIMIZATION OF CALIFORNIA'S
that have lower expected costs, less cost risk, and substantially reduced CO2 emissions and energy import, renewable energy, electricity planning, fuel prices, energy risks #12;TABLE OF CONTENTS EXECUTIVE SUMMARY'S 33 PERCENT RENEWABLE PORTFOLIO STANDARD GOAL Prepared For: California Energy Commission Prepared By
Hawaii Application for Community Noise Variance (DOH Form) | Open Energy
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetec AG| OpenInformationHartsville,New Hampshire:Information Form)
Hawaii Guide for Filing Community Noise Variance Applications | Open Energy
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetec AG|Information OpenEI Reference LibraryAdd to libraryInformation
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa-Anomalous Radiative AbsorptionARM InArctic Facilityandofuncover inhomogeneities
Reduction of Emission Variance by Intelligent Air Path Control | Department
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012Energy ReliabilityNewsEnergy Vehicleof Energy
Bardsley, John
or subordinates. Eden1 speculated that in most quantitative examples of the Pygmalion effect which compared two the Pygmalion effect. Eden conducted an experiment that attempted to more fairly isolate the Pygmalion effect their ability to operate weapons and answer questions about their use. The platoon mean scores are the response
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.
2014-11-25T23:59:59.000Z
The SRR sampling campaign to obtain residual solids material from the Savannah River Site (SRS) Tank Farm Tank 12 primary vessel resulted in obtaining appreciable material in all 6 planned source samples from the mound strata but only in 5 of the 6 planned source samples from the floor stratum. Consequently, the design of the compositing scheme presented in the Tank 12 Sampling and Analysis Plan, Pavletich (2014a), must be revised. Analytical Development of SRNL statistically evaluated the sampling uncertainty associated with using various compositing arrays and splitting one or more samples for compositing. The variance of the simple mean of composite sample concentrations is a reasonable standard to investigate the impact of the following sampling options. Composite Sample Design Option (a). Assign only 1 source sample from the floor stratum and 1 source sample from each of the mound strata to each of the composite samples. Each source sample contributes material to only 1 composite sample. Two source samples from the floor stratum would not be used. Composite Sample Design Option (b). Assign 2 source samples from the floor stratum and 1 source sample from each of the mound strata to each composite sample. This infers that one source sample from the floor must be used twice, with 2 composite samples sharing material from this particular source sample. All five source samples from the floor would be used. Composite Sample Design Option (c). Assign 3 source samples from the floor stratum and 1 source sample from each of the mound strata to each composite sample. This infers that several of the source samples from the floor stratum must be assigned to more than one composite sample. All 5 source samples from the floor would be used. Using fewer than 12 source samples will increase the sampling variability over that of the Basic Composite Sample Design, Pavletich (2013). Considering the impact to the variance of the simple mean of the composite sample concentrations, the recommendation is to construct each sample composite using four or five source samples. Although the variance using 5 source samples per composite sample (Composite Sample Design Option (c)) was slightly less than the variance using 4 source samples per composite sample (Composite Sample Design Option (b)), there is no practical difference between those variances. This does not consider that the measurement error variance, which is the same for all composite sample design options considered in this report, will further dilute any differences. Composite Sample Design Option (a) had the largest variance for the mean concentration in the three composite samples and should be avoided. These results are consistent with Pavletich (2014b) which utilizes a low elevation and a high elevation mound source sample and two floor source samples for each composite sample. Utilizing the four source samples per composite design, Pavletich (2014b) utilizes aliquots of Floor Sample 4 for two composite samples.
Â?Ã¡rka, JahodovÃ¡
, mzeme pouzÃt pÃkazovÃ©ho Ã¡dku. Pouzijeme sestavu SDF1, kdy promnnÃ¡ Data4 obsahuje vÃ½sky rostlin a Faktor1 jsou Ãºrovn zÃ¡livky. SDF1$Data4SDF1$Faktor1 Model *** Short Output: Call: aov(formula = Data4 ~ Faktor1, data = SDF1, qr = T, na.action = na
An excursion with the Boltzmann equation at low speeds : variance-reduced DSMC
Al-Mohssen, Husain Ali, 1977-
2010-01-01T23:59:59.000Z
The goal of the present thesis is to develop a practical method for simulating low-signal kinetic (small-scale) gaseous flows. These flows have recently received renewed attention in connection with the design and optimization ...
Structure and variances of equatorial zonal circulation in a multimodel ensemble
. Zwiers Â· G. J. Boer Â· M. F. Ting Received: 16 August 2011 / Accepted: 16 April 2012 Ã? Her Majesty Consortium, University of Victoria, Victoria, BC, Canada G. J. Boer Canadian Centre for Climate Modeling and Analysis, Climate Research Division, Environment Canada, Victoria, BC, Canada M. F. Ting Lamont
Ito-Wiener chaos expansion with exact residual and correlation, variance inequalities
Hu, Yaozhong
1997-10-01T23:59:59.000Z
We give a formula of expanding the solution of a stochastic differential equation (abbreviated as SDE) into a finite Ito-Wiener chaos with explicit residual. And then we apply this formula to obtain several inequalities for diffusions such as FKG...
Spatio-angular Minimum-variance Tomographic Controller for Multi-Object Adaptive Optics systems
Correia, Carlos M; Veran, Jean-Pierre; Andersen, David; Lardiere, Olivier; Bradley, Colin
2015-01-01T23:59:59.000Z
Multi-object astronomical adaptive-optics (MOAO) is now a mature wide-field observation mode to enlarge the adaptive-optics-corrected field in a few specific locations over tens of arc-minutes. The work-scope provided by open-loop tomography and pupil conjugation is amenable to a spatio-angular Linear-Quadratic Gaussian (SA-LQG) formulation aiming to provide enhanced correction across the field with improved performance over static reconstruction methods and less stringent computational complexity scaling laws. Starting from our previous work [1], we use stochastic time-progression models coupled to approximate sparse measurement operators to outline a suitable SA-LQG formulation capable of delivering near optimal correction. Under the spatio-angular framework the wave-fronts are never explicitly estimated in the volume,providing considerable computational savings on 10m-class telescopes and beyond. We find that for Raven, a 10m-class MOAO system with two science channels, the SA-LQG improves the limiting mag...
Option Pricing with Levy-Stable Processes Generated by Levy-Stable Integrated Variance
Howison, Sam
Cartea1 and Sam Howison2 1 Birkbeck, University of London 2 Mathematical Institute, University of Oxford hypothesis, stochastic volatil- ity, -stable processes, option pricing, time-changed Brownian motion. We of the underlying stochastic processes used in the financial literature were based on Brownian motion, modelling
Farnham, Tiffany Talley
2005-02-17T23:59:59.000Z
The population genetic structure of Atlantic yellowfin tuna (Thunnus albacares) has received little attention despite the substantial fishing mortality of juveniles caused by purse seining around fish aggregating devices ...
A general purpose program for the analysis of variance and the complete analysis of covariance
Strange, James Reid
1967-01-01T23:59:59.000Z
10 2. 3 The Mean Square Operation 3. la Completely Randomized Experiment 13 16 3. lb a'x b Factorial 16 3. 2a Repeated Observations Within a Randomized Block 17 3. 2b a x b x c Factorial 17 3. 3 Randomized Block with Factorial Treatments...: Box 15: Alter cells 5 and 5' to initial values required for the operation on the next group of items. The D operation is completed For a group of items. Box 16: Step up of (factor) run count f. Box 17: Control for entering square run. Box 18...
Bayesian inference for the ratio of the means of two normal populations with unequal variances
Mendoza Ramírez, Manuel
. Mendoza Departamento de Estad#19;#16;stica ITAM, R#19;#16;o Hondo 1 01000 M#19;exico D.F., Mexico e-mail: mendoza@gauss.rhon.itam.mx E. Guti#19;errez-Pe~na Departamento de Probabilidad y Estad#19;#16;stica IIMAS
The Impact of Sampling Methods on Bias and Variance in Stochastic ...
2006-10-04T23:59:59.000Z
We also acknowledge the computing resources and support of the Graduate Education and ... Optimal investments for electricity generation: A stochastic.
The efficiency of the crude oil markets: Evidence from variance ratio tests
Paris-Sud XI, Université de
of the 1990s oil prices have been steadily increasing, reflecting rising demand for crude oil, particularly costs, and reserves (Pindyck, 1999). Supply and demand remain the main factors determining oil prices. More precisely, oil demands depend on oil consumption by developed and developing countries, and oil
Two-Step Variance-Adaptive Image Denoising Lahouari Ghouti and Ahmed Bouridane
Ghouti, Lahouari
on a minimum mean square error estimation (MMSE) procedure. Experimental results, using images contaminated contaminated by noise. Therefore, it is desirable to derive an estimate of the original image through denoising, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia. Email: ghouti
UNPUBLISHED (HAS SOME ERRORS) The Variance Curve of M/G/1 Outputs
Nazarathy, Yoni
useful resources are [7] and [8]. EURANDOM, Eindhoven University of Technology, Eindhoven The Netherlands. EURANDOM and the Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven
Gosavi, Abhijit
-neutral model designed to maximize the expected value of the total revenues earned over a finite time horizon Technical Report SOPTL-07-01 Department of Engineering Management and Systems Engineering; Missouri software programs to test principles similar to yield management, which airlines mastered years ago to eke
Smoothing spline analysis of variance approach for global sensitivity analysis of computer codes
Boyer, Edmond
- ing sensitivity indices. Numerical tests performed on several analytical examples and scientific applications, such as nuclear safety assessment, meteorology or oil reservoir forecasting. Simulations are performed with complex computer codes that model diverse complex real world phenomena. Inputs
Estimation adaptative des modeles vectoriels autoregressifs avec une variance dependant du
Boyer, Edmond
particuliers. Dans ce cadre nous proposons des estimateurs des Moindres CarrÂ´es Ordinaires (MCO) et des estimateurs des MCO et MCA. Nous Â´etendons leur rÂ´esultats dans le cadre des VAR. Nous montrons que dans ce
Smoothing Spline Estimation of Variance Functions Anna LIU, Tiejun TONG and Yuedong WANG
Wang, Yuedong
powerful tests (Huang and Pan 2002, Wang and Guo 2004, Cui, Hwang, Qiu, Blades and Churchill 2005). We (email: yuedong@pstat.ucsb.edu). This research was supported by NIH Grant R01 GM58533. Address
Liu, Qinyan
2005-08-29T23:59:59.000Z
In-process Optical Coordinate Measuring Machine (OCMM) offers the potential of diagnosing in a timely manner variation sources that are responsible for product quality defects. Such a sensor system can help manufacturers improve product quality...
The production of temperature and salinity variance and covariance : implications for mixing
Schanze, Julian J. (Julian Johannes)
2013-01-01T23:59:59.000Z
Large-scale thermal forcing and freshwater fluxes play an essential role in setting temperature and salinity in the ocean. A number of recent estimates of the global oceanic freshwater balance as well as the global oceanic ...
The Variance of Sample Autocorrelations: Does Barlett's Formula Work With ARCH Data?
Kokoszka, Piotr S.; Politis, D N
2008-01-01T23:59:59.000Z
properties of var- ious GARCH and stochastic volatilityas, e.g. , the ARCH and GARCH models that were introduced inARCH(p) and (invertible) GARCH(p, q) models. • Stochastic
No-migration variance petition. Appendix B, Attachments E--Q: Volume 4, Revision 1
Not Available
1990-03-01T23:59:59.000Z
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.
No-migration variance petition. Volume 3, Revision 1: Appendix B, Attachments A through D
Not Available
1990-03-01T23:59:59.000Z
Volume III contains the following attachments: TRUPACT-II content codes (TRUCON); TRUPACT-II chemical list; chemical compatibility analysis for Rocky Flats Plant waste forms (Appendix 2.10.12 of TRUPACT-II safety analysis report); and chemical compatibility analyses for waste forms across all sites.
The excited hadron spectrum in lattice QCD using a new variance reduction method
Colin Morningstar; A. Bell; C. Y. Chen; D. Lenkner; C. H. Wong; J. Bulava; J. Foley; K. J. Juge; M. Peardon
2010-11-30T23:59:59.000Z
Progress in calculating the spectrum of excited baryons and mesons in lattice QCD is described. Correlation matrices of sets of spatially-extended hadron operators have been studied and their effectiveness in facilitating the extraction of excited-state energies is demonstrated. First applications of the stochastic LapH method, a new method of estimating the low-lying effects of quark propagation, are presented.
Further examination of multiple systematic sources of variance in assessment center ratings
Maldegen, Robyn Marie
1996-01-01T23:59:59.000Z
This study utilizes generalizability theory to examine the construct-related validity of a carefully implemented assessment center. Previous research has indicated that assessment centers do not exhibit construct-related validity. This study...
From Rothamsted to Northwick Park: designing experiments to avoid bias and reduce variance
Bailey, R. A.
/53 Rothamsted Experimental Station (Harpenden) This was founded by Sir John Bennet Lawes in 1843. trees
Development of finite-difference equations for variance of neutron fluxes in reactor
Laletin, N. I., E-mail: nil@adis.vver.kiae.ri; Kovalishin, A. A., E-mail: kaa@adis.vver.kiae.ri [Russian Research Center Kurchatov Institute (Russian Federation)
2010-12-15T23:59:59.000Z
Different sources-methodical, constant, and technological-are discussed for uncertainties in calculation functionals. The basic principles of three methods used in calculations of uncertainties are briefly described.
A Mean-Variance Control Framework for Platoon Control Problems: Weak Convergence Results and
Zhang, Hongwei
toward autonomous or semi-autonomous vehicle control. The goal of longitudinal platoon control, Detroit, MI 48202, hongwei@wayne.edu. 1 #12;1 Introduction Highway vehicle control is a critical task strategy for enhanced safety, im- proved highway utility, increased fuel economy, and reduced emission
Jackson, Robert B.
to accompany the recently developed biodiversity intactness index (BII) (Scholes and Biggs [Scholes, R.J., Biggs, R., 2005. A biodiversity intact- ness index. Nature 434, 45Â49]). The BII is based on estimates and Cooper, 2006). To help meet this need, Scholes and Biggs (2005) developed the biodiversity intactness
A column based variance analysis approach to static reservoir model upgridding
Talbert, Matthew Brandon
2008-10-10T23:59:59.000Z
The development of coarsened reservoir simulation models from high resolution geologic models is a critical step in a simulation study. The optimal coarsening sequence becomes particularly challenging in a fluvial channel environment where...
Waste Isolation Pilot Plant No-migration variance petition. Addendum: Volume 7, Revision 1
Not Available
1990-03-01T23:59:59.000Z
This report describes various aspects of the Waste Isolation Pilot Plant (WIPP) including design data, waste characterization, dissolution features, ground water hydrology, natural resources, monitoring, general geology, and the gas generation/test program.
No-migration variance petition. Appendices C--J: Volume 5, Revision 1
Not Available
1990-03-01T23:59:59.000Z
Volume V contains the appendices for: closure and post-closure plans; RCRA ground water monitoring waver; Waste Isolation Division Quality Program Manual; water quality sampling plan; WIPP Environmental Procedures Manual; sample handling and laboratory procedures; data analysis; and Annual Site Environmental Monitoring Report for the Waste Isolation Pilot Plant.
The 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 ...
09s1: COMP9417 Machine Learning and Data Mining No Free Lunch, Bias-Variance &
Bain, Mike
with D and for each there is exactly one other function whose output is inverted with respect to each of some recent advances in machine learning. Following it you should be able to: · outline the No Free averaged over all target functions, the expected off-training- set error for all learning algorithms
Flores, Analisa Marielena
2011-01-01T23:59:59.000Z
optimal 2 m fractional factorial designs of resolution V,2000. Model-robust factorial designs. Technometrics, 42(4),1979. A screening design for factorial experiments with
Flores, Analisa Marielena
2011-01-01T23:59:59.000Z
2 k ? 3.2 Model Information Consider a special search linear model (3.1) as it applies to a fractional factorial design.
Application of analysis of variance and related techniques to epidemiological data
Wellington, Dorothy Gaites
1969-01-01T23:59:59.000Z
effect 1n Respiratory Cancer, the importance of age group on race effect in Respiratory Cancer, the importance of age group on race effect in Stomach Cancer, are examples of the insight gained. Auxiliary simple effects tables then pinpoint the specific... factor level which contributes most of the variation accounted for by that factor. Racial differences in cancer may be marked among males but minimal among females; sex differences may be peculiar to certa1n ages; and, for higher order interaction...
Hawaii Variance from Pollution Control Permit Packet (Appendix S-13) | Open
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetec AG|Information OpenEI ReferenceNoiseInformation State of
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruaryOctober 2, AlgeriaQ1 Q2you
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 PageStationGreenhouse GasCalifornia State0Button
Fischer, N.T. [ed.] [International Technology Corp., Torrance, CA (United States)
1990-03-01T23:59:59.000Z
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.
Liu, Gangjun; Chou, Lidek; Jia, Wangcun; Qi, Wenjuan; Choi, Bernard; Chen, Zhongping
2011-01-01T23:59:59.000Z
OCT system. A microelectromechanical systems (MEMS) basedsituation. A microelectromechanical systems (MEMS) based
in the mean. As climate changes due to natural causes or human impact, it may be changes in the frequency temperature referred to as ,,global warming". Most of the reviewed methods have one common drawback
Bustamante, Fabián E.
C. Tamhane Source: Journal of the American Statistical Association, Vol. 74, No. 366 (Jun., 1979), pp. 471- 480 Published by: American Statistical Association Stable URL: http of scholarship. For more information about JSTOR, please contact support@jstor.org. American Statistical
Bringing it all to the table : examining variance in strategic approaches within the six-party talk
Zahorchak, Jason M
2009-01-01T23:59:59.000Z
In the approaches seen at the six-party talks on North Korea's nuclear program, why did states faced with the same security problem adopt different strategies? Answering this question will bring understanding to why the ...
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
The development of a collagen - nylon microcapsule composite biomaterial
Yeager, Mark Rutledge
1974-01-01T23:59:59.000Z
into the epidermis ut regular interv?1s i? tho I?rm of small vascular papill?e. FIGURE 1. STRUCTURE OF THE SKIN (Rothman, 1969) 1. Stratum Corneum 6. 2. Stratum Lucidum 7. 3, Stratum Granulosum 8. 4. Stratum Nalpighii 5. Stratum Germi natum Dermal Papillae P... not involve inter- facial polycondensation. 4. Development of a technique for agitating the collagen-microcapsule suspension to insure random and even dispersion of the microcapsules. 5. Use of non-hemolysate based microcapsules. REFERENCES 1, Ross, R...
Transdermal microconduits by microscission for drug delivery and sample acquisition
Gonzalez, Salvador
Background Painless, rapid, controlled, minimally invasive molecular transport across human skin for drug delivery and analyte acquisition is of widespread interest. Creation of microconduits through the stratum corneum ...
Chen, Tianrun
2009-01-01T23:59:59.000Z
When an acoustic field propagates through a multimodal waveguide, the effect of variations in medium properties induced by 3D random inhomogeneities accumulates by multiple forward scattering over range. This causes ...
Underground Storage of Natural Gas (Kansas)
Broader source: Energy.gov [DOE]
Any natural gas public utility may appropriate for its use for the underground storage of natural gas any subsurface stratum or formation in any land which the commission shall have found to be...
AGRARIAN CHANGE, AGROECOLOGICAL TRANSFORMATION AND THE COFFEE CRISIS IN COSTA RICA
Babin, Nicholas Lawrence
2012-01-01T23:59:59.000Z
to improve the fallow of Agua Buena frijol tapado systemsfrijol tapado has also been increasingly applied in Aguafrijol tapado one of the three most common arrangments within the intercropped stratum of Agua
Method for in situ heating of hydrocarbonaceous formations
Little, William E. (Morgantown, WV); McLendon, Thomas R. (Laramie, WY)
1987-01-01T23:59:59.000Z
A method for extracting valuable constituents from underground hydrocarbonaceous deposits such as heavy crude tar sands and oil shale is disclosed. Initially, a stratum containing a rich deposit is hydraulically fractured to form a horizontally extending fracture plane. A conducting liquid and proppant is then injected into the fracture plane to form a conducting plane. Electrical excitations are then introduced into the stratum adjacent the conducting plate to retort the rich stratum along the conducting plane. The valuable constituents from the stratum adjacent the conducting plate are then recovered. Subsequently, the remainder of the deposit is also combustion retorted to further recover valuable constituents from the deposit. Various R.F. heating systems are also disclosed for use in the present invention.
Arnold Schwarzenegger
2009-01-01T23:59:59.000Z
(Enclosure A). The regulations and the Finding of Emergency (Enclosure B) will be included in the rulemaking package that is sent to the Office of Administrative Law for review. If you have any questions about this matter, please contact Lori Senitte Brock at (916) 341-5185.
Gupta, Vinay Kumar
12 INFLUENCE OF LIQUEFACTION ON PILE-SOIL INTERACTION IN VERTICAL VIBRATION B.K. Maheshwari*, U.K. Nath** and G. In such soil stratum, pile foundations may undergo substantial shaking while the soil is in a fully liquefied the liquefaction phenomenon. The Winkler soil model has been used to model the pile-soil interaction. Combining
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
complexity of cylindrical decompositions of sub-pfaffian sets
1910-00-40T23:59:59.000Z
tence was proved in [9] by means of a quasi-constructive process of .... All functions defining a stratum have the same Pfaffian chain as the input functions. .... The output of the algorithm is a cell decomposition (i.e. subdivision into finite.
Determination of Dusty Particle Charge Taking into Account Ion Drag
Ramazanov, T. S.; Dosbolayev, M. K.; Jumabekov, A. N.; Amangaliyeva, R. Zh.; Orazbayev, S. A. [al-Farabi Kazakh National University, IETP, 96a Tole Bi St., Almaty 050012 (Kazakhstan); Petrov, O. F.; Antipov, S. N. [Joint Institute for High Temperatures of RAS, 13/19 Izhorskaya, Moscow 125412 (Russian Federation)
2008-09-07T23:59:59.000Z
This work is devoted to the experimental estimation of charge of dust particle that levitates in the stratum of dc glow discharge. Particle charge is determined on the basis of the balance between ion drag force, gravitational and electric forces. Electric force is obtained from the axial distribution of the light intensity of strata.
Nally, Deseri 1975-
2011-04-29T23:59:59.000Z
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...
Rat Trachea Dose Distribution Model Using MCNPTM
Almanza, Christian
2010-01-15T23:59:59.000Z
of 10 statistical checks for the estimated answer for the tally fluctuation chart (tfc) bin of tally 6 tfc bin --mean-- ---------relative error--------- ----variance of the variance---- --figure of merit-- - pdf... =============================================================================== ==================================================== results of 10 statistical checks for the estimated answer for the tally fluctuation chart (tfc) bin of tally 8 tfc bin --mean-- ---------relative error--------- ----variance of the variance---- --figure of merit-- - pdf...
Biomass relations for components of five minnesota shrubs. Forest Service research paper
Buech, R.R.; Rugg, D.J.
1995-08-31T23:59:59.000Z
The tall shrub stratum is an important component of upland forests in the Lake States, especially of deciduous forest communities. The prevalance of tall shrubs has produced a recurring research interest in this stratum both in ecological studies and wildlife habitat surveys within the region. For such purposes, estimates of the biomass of tall shrubs or their component parts are often needed. The authors examine goodness of fit of two predictor variables (shrub height and stem diameter class) in three relations. The authors provide equations that use stem diameter class or stem diameter class and height to estimate biomass of six components of five shrub species, as well as generalized equations derived from a composite of all five species. Finally, the authors provide the information needed to construct standard errors for biomass estimates.
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
Nonparametric Comparison of Densities Based on Statistical Bootstrap
Nonparametric Comparison of Densities Based on Statistical Bootstrap De Brabanter, K.1 , Sahhaf, S. Keywords: Statistical Bootstrap, Variance Stabilization, Least Squares Support Vector Machines, Hypothesis on statistical bootstrap with variance stabilization and a nonparametric kernel density estimator, assisting
Zhang, Yanru
2012-10-19T23:59:59.000Z
, assuming constant variance when perform forecasting. This method does not consider the volatility nature of traffic flow data. This paper demonstrated that the variance part of traffic flow data is not constant, and dependency exists. A volatility model...
Supporting Information Gutierrez-Medina et al. 10.1073/pnas.0907133106
Block, Steven
an experiment to compensate for any signal loss. Dimeric Kinesin Bound to Microtubules (MTs) in Rigor. We-PNP or rigor conditions (6), or with stable cross-linking. Running Variance. The running angular variance
Moving from Status to Trends: Forest Inventory and Analysis Symposium 2012 330GTR-NRS-P-105 Estimators usEd in thE nEw mExico invEntory: Practical imPlications of "truly" random nonrEsPonsE within Each stratum Paul l. Patterson and sara a. Goeking1 Abstract.--The annual forest inventory of New Mexico began
Davis, Ernest Edwin
1971-01-01T23:59:59.000Z
, Therefore, to get an overall indication of the sampled population's preferences, a weighting procedur'e was necessary. Those sampled persons returning the mailed questionnaire were considered as the responding stratum. Those sampled persons not returning... in the report, and determining what information should be presented in the interpretation column of the report. The data was collected by the use of a mail questionnaire sent to a random sample of 5, 112 readers of tbe Texas Livestock Narket News. Telephone...
Barnhart, Kirstin Faye
2005-11-01T23:59:59.000Z
is provided by a few layers of keratinocytes that collectively comprise the epidermis. This barrier, known as the stratum corneum, is life-sustaining, prevents loss of water from the body and withstands chemical, microbial, immunological and ultraviolet... of EHK (also referred to as bullous congenital ichthyosiform erythroderma) was first attributed to genetic mutations in K1/K10 by Cheng et al in 1992. Although ?hot spot? regions of these genes have been identified and most mutations occur in the 1A...
Modeling the radiation belt electrons with radial diffusion driven by the solar wind
Li, Xinlin
in the enhancement of radiation belt electrons yet leaves a significant portion of the variance unaccounted for. We
A Regional Approach to Market Monitoring in the West
Barmack, Matthew; Kahn, Edward; Tierney, Susan; Goldman, Charles
2006-01-01T23:59:59.000Z
econometric model, known as a GARCH model, in which theexamine. On the other hand, in GARCH models, the variance of
Cain, Nathan Jackson
1952-01-01T23:59:59.000Z
EFFECTS OF VARIABLE NITROGEN AND PHOSPHORUS TREATMENTS WITH AND WITHOUT MAGNESIUM SULFATE ON THE AVAILABILITY OF SOIL NUTRIENTS AND THE PERCENI'AGE COMPOSITION AND YIELD OF COASTAL BERMUDA GRASS FORAGE A Thesis Nathan J ~ Cain Approved...'i~see o ' . ~lant tissue data IV. Analysis of variance of soil phosphorus (P) data V. Analysis of variance of' soil calcium (Ca) data VI. Analysis of variance of soil magnesium (Mg) data VII. Analysis of variance of scil potassium (K) data 34 35 36...
Dynamic soil pressures on rigid cylindrical vaults
Veletsos, A.S.; Younan, A.H (Rice Univ., Houston, TX (United States))
1993-02-01T23:59:59.000Z
A critical evaluation is made of the dynamic pressures and the associated forces induced by ground shaking on an upright, circular, rigid vault that is embedded in a uniform viscoelastic stratum of constant thickness and infinite extent in the horizontal plane. Both the vault and the stratum are presumed to be supported on a non- deformable base undergoing a space-invariant, uniform horizontal motion. The effects of both harmonic and earthquake-induced excitations are examined. Simple approximate expressions for the responses of the system are formulated, and comprehensive numerical data are presented which elucidate the underlying response mechanisms and the effects and relative importance of the various parameters involved. The parameters investigated include the height to radius ratio for the vault, the conditions at the vault-medium interface, and the material properties of the stratum. In addition to valuable insights into the response of the particular system being examined, the results presented provide a conceptual framework for the analysis and interpretation of solutions for more involved systems as well.
The efficacy of marker-assisted-selection for grain mold resistance in sorghum
Franks, Cleve Douglas
2004-09-30T23:59:59.000Z
, codominant markers only ............. 39 16 Proportion of total markers polymorphic, by population ................................ 40 17 Analysis of variance for QTL effects across all environments and populations, linkage group D............................................................................ 41 18 Analysis of variance for QTL effects across all environments and populations, linkage group E ......................................................................... 41 19 Analysis of variance for QTL effects across all...
Currency of Fitness in Foraging Theories Hypothesis Links Behavior to Fitness
Caraco, Thomas
Positive Energy Budget Choose Low Variance, Risk-Averse E [X(T)] Energy Budget Choose High Variance, Risk-Prone #12;14 Test Know Mean & Variance "Clump Type" Body Mass, Energy Requirement #12;, Test Hypothesis Diet Choice, MVT: Expected Long-term Rate of Energy Gain = As Total Foraging Time
Exogenous application of gibberellins to hasten yaupon seed germination for surface mine reclamation
Whatley, Christopher Marc
1988-01-01T23:59:59.000Z
55 57 64 LIST OF TABLES Table No. Page Arrangement of treated seeds on thermo-gradient table 14 Expected mean squares and degrees of freedom for incubator analysis of variance. 17 Expected mean squares and degrees of freedom for thermo...-gradient table analysis of variance. 18 Expected mean squares and degrees of freedom for thermo-gradient table sugar concentration analysis of variance. 22 ANOVA summary of incubator seed weight samples by sample periods and treatments . . . . . . . . . . 26...
Parameters’ Covariance in Neutron Time of Flight Analysis – Explicit Formulae
Odyniec, M. [NSTec; Blair, J. [NSTec
2014-12-01T23:59:59.000Z
We present here a method that estimates the parameters’ variance in a parametric model for neutron time of flight (NToF). The analytical formulae for parameter variances, obtained independently of calculation of parameter values from measured data, express the variances in terms of the choice, settings, and placement of the detector and the oscilloscope. Consequently, the method can serve as a tool in planning a measurement setup.
A fractional dispersion model for overland solute transport
Deng, Zhi-Qiang; de Lima, M. Isabel P.; Singh, Vijay P.; de Lima, Jo??o L. M. P.
2006-03-18T23:59:59.000Z
. It is apparent from Figure 1 and the above-mentioned variance analysis that (1) the relationship between variance and time does not simply follow a power law, although approximate power-law relations may be found in some cases; and (2) a polynomial equation... with a variable power index can best describe the relation between vari- ance and time. These characteristics of the variance of observed concentration distributions are difficult to predict using existing integer-order models. In fact, the infinite...
Moore, William
2015-07-24T23:59:59.000Z
testing of site 41NV670 was performed to determine the research potential of this unique site which consisted of a bison bone bed approximately 15 feet below the surface of a relict flood plain and within a heavy clay mantle. This investigation... was performed using shovel testing, excavation of two 1 x 1 meter test units, one backhoe trench, surface inspection of creek exposures, and an evaluation by a geomorphologist. Site 41NV670 consists of a stratum of bison bone identified as modern bison (Bison...
On the geometry of reduced cotangent bundles at zero momentum
Matthew Perlmutter; Miguel Rodriguez-Olmos; M. Esmeralda Sousa-Dias
2006-03-07T23:59:59.000Z
We consider the problem of cotangent bundle reduction for non free group actions at zero momentum. We show that in this context the symplectic stratification obtained by Sjamaar and Lerman refines in two ways: (i) each symplectic stratum admits a stratification which we call the secondary stratification with two distinct types of pieces, one of which is open and dense and symplectomorphic to a cotangent bundle; (ii) the reduced space at zero momentum admits a finer stratification than the symplectic one into pieces that are coisotropic in their respective symplectic strata.
Stewart, Milton David
2001-01-01T23:59:59.000Z
GE) on Days 14 and 15 of the estrous cycle (Silvia and Raw, 1993; Charpigny et al. , 1997; Gray et al. , 2000). The sGE is the GE within the stratum compactum of the endometrium that is phenotypically identical to the LE. Pulsatile secretion of PGF.../or IRFs to suppress ERa and OTR expression in the LE and sGE. Although IFN~ suppresses ERa and OTR expression in the LE and sGE, it does not induce ISG expression in these cell types (Choi et al. , 2001). Instead, IFN~ induces ISG expression solely...
Testing the Effectiveness of an Avian Flight Diverter for Reducing...
The researchers compared the number of carcasses found below treatment, buffer, and control power lines with a block analysis of variance. Researchers also studied whether...
anguillarum genetic response: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
in future genetic variance and a negative impact on future performance if inbreeding depression affects Paris-Sud XI, Universit de 89 Genetic Counseling Program...
Public Report Last Modified: 03/25/2013
Dasgupta, Dipankar
.12 Variance 0.75 Standard Deviation 0.87 Total Responses 266 #12;3. 7. Does the President have your confidence
Proceedingsof the 37th IEEE Conferenceon Decision & Control
Tatikonda, Sekhar
with zero mean and variance Kw, A E Edxd,B E Rdxmand (A,B) is controllable. 0-7803-4394-8198$10.0001998 IEEE
Merrill, J.A.
1984-07-25T23:59:59.000Z
This chapter covers current methods of calculating the variance of material unaccounted for (MUF), measurement quality control, and statistical test for MUF. (LM)
Information Technology, Organizational Learning, and the Market Value of the Firm
Hunter, Starling David, III
2003-08-22T23:59:59.000Z
This paper compares the mean and variance of cumulative abnormal returns following announcements of two types of information technology (IT) investments: those which ...
awake human electroencephalogram: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
variance beamformer for brain source localization that has been previously used Reilly, James P. 25 Kulback-Leibler and renormalized entropies: Applications to...
achieve global equity: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
economic risks. Although previous studies do not reject the unconditional mean variance efficiency of a world market portfolio, our evidence indicates that the tests are low in...
SEE Action Series: High Performance Leasing Strategies for State...
Broader source: Energy.gov (indexed) [DOE]
Real Estate Broker (and Tenant) Education and Engagement Program Solution 6 - Energy Efficiency Code Variance Process High-Performance Leasing Barriers What's needed - *...
analysis group center: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Jean Daunizeau Biology and Medicine Websites Summary: ;Hierarchical models Mixed effect models Random effect (RFX) models Components of variance ... all the same analysis: fixed...
The effects of seeding rate, row spacing and rates of fertilizer on a short Vs a tall wheat variety
Rao, Srinivas Chamkurgopal
1968-01-01T23:59:59.000Z
per square foot 20 Analysis of variance 8 square feet for winter forage, grams per 21 Analysis of variance square foot for number of heads per 23 Analysis of variance for number of seeds per he ad 24 Analysis of variance for 100-seed weight... of plants per square foot 41 Average dry weight of winter forage in grams per 8 square foot 42 3. Average number of heads per square foot 4. Average number of seeds per head 5. Average weight of 100 seed in grams 6 Average yield of grain in bushels per...
DETECTING CRITICAL NODES IN SPARSE GRAPHS Given a ...
2008-08-21T23:59:59.000Z
the pair-wise disconnectivity among the nodes, but also minimizes the variance in the car- dinalities of the components. Particularly, in Lemma 1 we show that for
archaeological surveying: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
or variance. Yet archaeological research provides an excellent 190 Study Abroad Peru Summer 2014 Anth428: Field Experience in Archaeology: Excavations at an Ancient Biology...
2014-09-25T23:59:59.000Z
Section 5 (cont.): Variance and Standard. Deviation; Chebyshev's Inequality. October 2nd, 2014. Lesson 9. Page 2. In the previous lesson, we introduced an ...
acquired adamts13 deficiency: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
their within-study variance. For mortality outcomes, the unknown authors 20 Acquired Dyslexia in Japanese: Implications for Reading Theory . Open Access Theses and Dissertations...
acquired immuno deficiency: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
their within-study variance. For mortality outcomes, the unknown authors 32 Acquired Dyslexia in Japanese: Implications for Reading Theory . Open Access Theses and Dissertations...
Mayne, Paul W.
( 0.075 mm) including sands to gravels, as well as much larger distribu- tions, as well variances in plasticity, particle shape, size, roundness, packing, porosity, In
Wolak, Matthew Ernest
2013-01-01T23:59:59.000Z
2005a. Estimating the additive genetic effect of the Xand the maintenance of additive variance. Evolution. 42:with maternal and non-additive genetic effects. Rev. Brasil.
Microsoft Word - OE Monthly Reporting Request SS 10-17-2011.doc
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
as review of cost information to ensure compliance with the statutes. DOE will collect data on cost and schedule variance, including Budgeted Cost of Work Scheduled (BCWS),...
Projection, Search, and Optimality in Fractional Factorial Experiments
Zheng, Zongpeng
2014-01-01T23:59:59.000Z
regular fractional factorial designs and their applications.variance fractional factorial designs and their optimalityoptimal 2 m fractional factorial designs of Resolution V, m
Extraction Utility Design Specification
Broader source: Energy.gov (indexed) [DOE]
for importing EVM, Schedule, Management Reserve, and Variance Analysis Report data from contractor source systems into the DOE PARS II CPP Upload Template. 7 1.3 Scope...
Convex Optimization of Centralized Inventory Operations
2005-01-10T23:59:59.000Z
Jan 10, 2005 ... Page 1 ... number of references on this topic and discuss strategies for adjusting correlations without changing individual means and variances.
On the feedback from super stellar clusters. I. The structure of giant HII regions and HII galaxies
G. Tenorio-Tagle; C. Munoz-Tunon; E. Perez; S. Silich; E. Telles
2006-01-27T23:59:59.000Z
We review the structural properties of giant extragalactic HII regions and HII galaxies based on 2D hydrodynamic calculations, and propose an evolutionary sequence that accounts for their observed detailed structure. The model assumes a massive and young stellar cluster surrounded by a large collection of clouds. These are thus exposed to the most important star-formation feedback mechanisms: photoionization and the cluster wind. The models show how the two feedback mechanisms compete in the disruption of clouds and lead to two different hydrodynamic solutions: The storage of clouds into a long lasting ragged shell that inhibits the expansion of the thermalized wind, and the steady filtering of the shocked wind gas through channels carved within the cloud stratum. Both solutions are claimed to be concurrently at work in giant HII regions and HII galaxies, causing their detailed inner structure. This includes multiple large-scale shells, filled with an X-ray emitting gas, that evolve to finally merge with each other, giving the appearance of shells within shells. The models also show how the inner filamentary structure of the giant superbubbles is largely enhanced with matter ablated from clouds and how cloud ablation proceeds within the original cloud stratum. The calculations point at the initial contrast density between the cloud and the intercloud media as the factor that defines which of the two feedback mechanisms becomes dominant throughout the evolution. Animated version of the models can be found at http://www.iaa.csic.es/\\~{}eperez/ssc/ssc.html.
Armstrong, John G.; Gillham, Charles M. [Department of Radiation Oncology, St. Luke's Hospital, Dublin (Ireland); Dunne, Mary T., E-mail: mary.dunne@slh.ie [Clinical Trials Resource Unit, St. Luke's Hospital, Dublin (Ireland); Fitzpatrick, David A. [Department of Radiation Oncology, St. Luke's Hospital, Dublin (Ireland); Finn, Marie A.; Cannon, Mairin E. [Clinical Trials Resource Unit, St. Luke's Hospital, Dublin (Ireland); Taylor, Judy C. [Department of Nursing, St. Luke's Hospital, Dublin (Ireland); O'Shea, Carmel M. [Clinical Trials Resource Unit, St. Luke's Hospital, Dublin (Ireland); Buckney, Steven J. [Department of Physics, St. Luke's Hospital, Dublin (Ireland); Thirion, Pierre G. [Department of Radiation Oncology, St. Luke's Hospital, Dublin (Ireland)
2011-09-01T23:59:59.000Z
Purpose: To examine the long-term outcomes of a randomized trial comparing short (4 months; Arm 1) and long (8 months; Arm 2) neoadjuvant hormonal therapy before radiotherapy for localized prostate cancer. Methods and Materials: Between 1997 and 2001, 276 patients were enrolled and the data from 261 were analyzed. The stratification risk factors were prostate-specific antigen level >20 ng/mL, Gleason score {>=}7, and Stage T3 or more. The intermediate-risk stratum had one factor and the high-risk stratum had two or more. Staging was done from the bone scan and computed tomography findings. The primary endpoint was biochemical failure-free survival. Results: The median follow-up was 102 months. The overall survival, biochemical failure-free survival. and prostate cancer-specific survival did not differ significantly between the two treatment arms, overall or at 5 years. The cumulative probability of overall survival at 5 years was 90% (range, 87-92%) in Arm 1 and 83% (range, 80-86%) in Arm 2. The biochemical failure-free survival rate at 5 years was 66% (range, 62-71%) in Arm 1 and 63% (range, 58-67%) in Arm 2. Conclusion: No statistically significant difference was found in biochemical failure-free survival between 4 months and 8 months of neoadjuvant hormonal therapy before radiotherapy for localized prostate cancer.
Interpretation of North Pacific Variability as a Short and Long Memory Process
Percival, Don
) and -- spectral density function (SDF) . essential di#erence between processes -- AR(1) ACVS dies down quickly and variance # 2 # 3. |#| SDF given by s X,# # cov{X t , X t zero and variance # 2 # 3. |#| 0) . ACVS and SDF given
Filter-feature-based rotation-invariant joint Fourier transform correlator
Ahmed, Farid
filter 1SDF2 approach.9,10 A minimum-variance SDF11 and a minimum-average correlation energy filter12 are examples of two such composite filter formulations. The minimum-variance SDF has optimal noise toler- ance modulation in SDF construction has already been proposed14,15 to improve invariance per- formance. A recent
Adaptive Resampling for Mobile, Real-Time Terrain
Mower, James E.
TinVariance scans the high-res TIN, searching for samples that exceed the variable local tolerance Scanning works about 3 minutes on a 700 mHz laptop #12;LocalTinVariance Speed Factors Worst-case performance is linear, triangular decomposition of a grid GridToTinVT adds a variable tolerance increasing with distance from
CORRELATIONINDUCTION TECHNIQUES FOR ESTIMATING QUANTILES IN SIMULATION EXPERIMENTS
allinclusive sam ple. The singlesample estimator based on Latin hypercube sampling is shown of the completion time of a stochastic activity network. Subject classifications: Simulation, efficiency: variance quantiles of the response Y of a finitehorizon stochastic simulation experiment based on the variance
Certain antibiotics in the experimental formation of urinary calculi in fattening lambs
Robbins, Joe Dennis
1959-01-01T23:59:59.000Z
a ~ ~ s ~ ~ ' ~ 23 Calcine ~ i ~ ~ ~ ~ ~ ~ ~ ~ 25 Pciasailgl ~ ~ ~ ~ ~ j ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 2P Scdina ~ ~ ~ ~ ~ o ~ ~ ~ ~ ~ ~ ~ ~ ' ~ ~ ~ ' 29 Urine PH ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ )0 SU%ART ~ ~ ~ i ~ ~ ' ~ ~ ~ ~ ~ ' ~ ~ ~ ~ ~ ~ ~ i... 4. Analysis oi Variance of Gains Due to Treatment . . . . . 19 Analysis of Variance of Gains for Lambs With and , Without Calculi i ~ ~ ~ ~ ~ \\ . ~ ~ ~ ~ i ~ ~ ~ ~ i ~ ~ 20 6. Lot Noans of Serum M. ncral Constituento and Urine p...
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
Jrgen Alheit A BRIEF OVERVIEW OF THE REGIME SHIFT
shifts in the mean. Several approaches can be distinguished: 1. Parametric methods, such as the classical-order statistics, such as the variance and power spectrum (Tables 2 and 3). A separate group of methods includes., 2003). Strong theoretical basis. Robust to the assumption of normality and equality of variances. Data
Light refreshments will be served. Tuesday, February 9
De Callafon, Raymond
for Automatic Controller Tuning Dr. Raymond de Callafon UCSD For most control systems, performance can be quantified by the variance of a system dependent or user defined control System Performance Signal (SPS). The smaller the variance of the SPS, the better is the performance of the control system. However
Preharvest aflatoxin in maize genotypes under inoculation with Aspergillus flavus
Mayfield, Kerry L.
2009-05-15T23:59:59.000Z
............................................................................... 94 Discussion and Conclusions............................................ 119 VI SUMMARY .............................................................................. 121 REFERENCES... of variance for aflatoxin concentration of maize hybrids inoculated with A. flavus isolates at three locations in 2004.................. 94 5-2 Analysis of variance for aflatoxin concentration of maize hybrids inoculated with A. flavus isolates across...
Longenberger, Polly Suzanne
2009-05-15T23:59:59.000Z
dryland and irrigated field conditions in 2006 and dryland field conditions in 2007 at College Station, TX............................................................................. 45 9 Variance analysis for Fv'/Fm' measurement taken after 5 hours..., region of adaptation, and developer for cotton genotypes planted in 2005, 2006, and 2007 ...................................................................... 20 2 Variance analysis for Fv'/Fm' measurement taken after 5 hours of incubation for 19...
Moment Methods for Exotic Volatility Derivatives
Albanese, Claudio
2007-01-01T23:59:59.000Z
The latest generation of volatility derivatives goes beyond variance and volatility swaps and probes our ability to price realized variance and sojourn times along bridges for the underlying stock price process. In this paper, we give an operator algebraic treatment of this problem based on Dyson expansions and moment methods and discuss applications to exotic volatility derivatives. The methods are quite flexible and allow for a specification of the underlying process which is semi-parametric or even non-parametric, including state-dependent local volatility, jumps, stochastic volatility and regime switching. We find that volatility derivatives are particularly well suited to be treated with moment methods, whereby one extrapolates the distribution of the relevant path functionals on the basis of a few moments. We consider a number of exotics such as variance knockouts, conditional corridor variance swaps, gamma swaps and variance swaptions and give valuation formulas in detail.
Superposed Coherent and Squeezed Light
Fesseha Kassahun
2012-01-18T23:59:59.000Z
We first calculate the mean photon number and quadrature variance of superposed coherent and squeezed light, following a procedure of analysis based on combining the Hamiltonians and using the usual definition for the quadrature variance of superposed light beams. This procedure of analysis leads to physically unjustifiable mean photon number of the coherent light and quadrature variance of the superposed light. We then determine both of these properties employing a procedure of analysis based on superposing the Q functions and applying a slightly modified definition for the quadrature variance of a pair of superposed light beams. We find the expected mean photon number of the coherent light and the quadrature variance of the superposed light. Moreover, the quadrature squeezing of the superposed output light turns out to be equal to that of the superposed cavity light.
The effect of sulphur and phosphorus sources on cotton
Black, Shelton Glenn
1958-01-01T23:59:59.000Z
plants taken on June 21 13 Table 5 Mean yield of seed cotton in pounds per acre. . Table 6 Mean yield of lint cotton in pounds per acre. . . Table 7 Mean yield of cotton seed in pounds per acre. . 16 17 Table 8 Staple length, grade, and current... Analysis of variance for effect of phosphorus sources on yield of seed cotton, second harvest 49 Table Z5 Analysis of variance for effect of phosphorus sources on total yield of seed cotton 49 Table Z6 Analysis of variance for effect of phosphorus...
Battles, M.S.; Schmidt, M.W.
1997-01-01T23:59:59.000Z
The purpose of this project is to provide the resources and capabilities necessary to permit the State of Oklahoma to conduct Area of Review (AOR) variance analysis on a statewide level. The project allows for the analysis and identification of areas which may qualify for AOR variances, the correlation of information from various databases and automated systems to conduct AORs in area which do not qualify for variances, the evaluation of the risk of pollution, during permitting and monitoring, using risk based data analysis, and the ability to conduct spatial analysis of injection well data in conjunction with other geographically referenced information.
Sadik, Mohamed Kamal
1962-01-01T23:59:59.000Z
on July Z4. A sumxnary of the analysis of variance on soil nitrogen (NO3 and NH+4) as affected by source, rate and time of nitrogen application. 17 A summary of the analysis of variance on the dry weight of the plant organs and the yield of seed... cotton as affected by source, rate and time of nitrogen application, 17 A summary of the analysis of variance on ni- trogen (T. N. , NO3 and NH4) content of the different parts of the plant as affected by source, rate and time of nitrogen application...
Cozart, George Davis
1975-01-01T23:59:59.000Z
oz z Cn+ O ooe ? z g XO Q V) z&+ J o O o~~ i&Q LIGHT GRAY LOOSE SILTY SAND SM 13. 4 12. 6 1043 13. 4 13. 8 106$ SM 16. 3 26. 0 111. 6 I BX) Il 5. 0 IO TAN FIRM SILTY CLAY FIG. 4. -LOG OF BORING 2 SITE A - STATE HIGHWAY 30. (Ift ?. 305m...', I pcf ?16. 0lkg/m ) o w w X z 0 1- 8 DESCRIPTION OF STRATUM c( O w~ wm Z 0 z i Dol- 8 I-~c, Ou) ~) a&n +w 40. zv) w1 pww e1-o I c( E9 &wit I-3 L' CX zm 2 6. 7 E BROWN LOOSE SILTY SAND SM 15. 0 5. 1 98. 7 10. 9 6. 0 103. 9 6...
Hsu, Bertrand D. (Erie, PA); Leonard, Gary L. (Schenctady, NY)
1988-01-01T23:59:59.000Z
A fuel injection system particularly adapted for injecting coal slurry fuels at high pressures includes an accumulator-type fuel injector which utilizes high-pressure pilot fuel as a purging fluid to prevent hard particles in the fuel from impeding the opening and closing movement of a needle valve, and as a hydraulic medium to hold the needle valve in its closed position. A fluid passage in the injector delivers an appropriately small amount of the ignition-aiding pilot fuel to an appropriate region of a chamber in the injector's nozzle so that at the beginning of each injection interval the first stratum of fuel to be discharged consists essentially of pilot fuel and thereafter mostly slurry fuel is injected.
Detailed Studies of Hydrocarbon Radicals: C2H Dissociation
Wittig, Curt
2014-10-06T23:59:59.000Z
A novel experimental technique was examined whose goal was the ejection of radical species into the gas phase from a platform (film) of cold non-reactive material. The underlying principle was one of photo-initiated heat release in a stratum that lies below a layer of CO2 or a layer of amorphous solid water (ASW) and CO2. A molecular precursor to the radical species of interest is deposited near or on the film's surface, where it can be photo-dissociated. It proved unfeasible to avoid the rampant formation of fissures, as opposed to large "flakes." This led to many interesting results, but resulted in our aborting the scheme as a means of launching cold C2H radical into the gas phase. A journal article resulted that is germane to astrophysics but not combustion chemistry.
amphetamine induced reverse: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
of the variance in the timing of the wind shift. However, there are local boundary layer impacts from land useBACKGROUND AND PURPOSE In hilly areas and climates prone to local...
Special Coating Emission Control System At Goulds Pumps ITT Industries
Caropolo, B.; Evans, T.
The Clean Air Act Amendments of 1990 required significant changes for users of industrial paints and coatings. New York State requires users of highly volatile coatings to meet additional regulations, and apply for special permits and variances...
Feedback message passing for inference in Gaussian graphical models
Liu, Ying, Ph. D. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2010-01-01T23:59:59.000Z
For Gaussian graphical models with cycles, loopy belief propagation often performs reasonably well, but its convergence is not guaranteed and the computation of variances is generally incorrect. In this paper, we identify ...
Feedback Message Passing for Inference in Gaussian Graphical Models
Liu, Ying
For Gaussian graphical models with cycles, loopy belief propagation often performs reasonably well, but its convergence is not guaranteed and the computation of variances is generally incorrect. In this paper, we identify ...
PHOTOELECTRON SPECTROSCOPY OF HEAVY ATOMS AND MOLECULES
White, M.G.
2010-01-01T23:59:59.000Z
s*:* .l»l«. .ii>s .W'i .ni" .pir- .KO: . im. .mm .4M\\ .mis .smaller than for the I (pir) I states, in variance withi c state-. Secondly, the H(pir) asymmetry parameters are in
Adaptive Importance Sampling via Stochastic Convex Programming
Adaptive Importance Sampling via Stochastic Convex Programming Ernest K. Ryu1 and Stephen P. Boyd1 Abstract We show that the variance of the Monte Carlo estimator that is importance sam- pled from
An environmental assessment of Bermuda's caves
Gibbons, Darcy Ann
2005-02-17T23:59:59.000Z
selected caves, three from each class. Each sample was analyzed for nitrate, nitrite, and ammonia concentrations. The results were analyzed using multiple analysis of variance statistics. A significant difference between the nitrate concentrations...
Harms, Kyle E.
Variables 593 18 Generalized Additive Models 611 19 Mixed-Effects Models 627 20 Non-linear Regression 661 21 323 10 Regression 387 11 Analysis of Variance 449 12 Analysis of Covariance 489 13 Generalized Linear
Special Coating Emission Control System At Goulds Pumps ITT Industries
Caropolo, B.; Evans, T.
2001-01-01T23:59:59.000Z
The Clean Air Act Amendments of 1990 required significant changes for users of industrial paints and coatings. New York State requires users of highly volatile coatings to meet additional regulations, and apply for special permits and variances...
Distributionally robust expectation inequalities for structured ...
2015-05-04T23:59:59.000Z
sisting of all distributions sharing a known mean and variance, contains distributions that are not realistic in .... As in the previous case, the method described in [29] is applicable only to situations in ...... Optimal Control for Load. Alleviation in ...
An Adaptive FPGA Architecture with Process Variation Compensation and Reduced Leakage
Najm, Farid N.
to their perfor- mance. Based on this classification, the architecture adap- tively body-biases these resources of the FPGA that have a positive slack. Overall, this architecture minimizes the timing variance of within
Variable Selection and Function Estimation Using Penalized Methods
Xu, Ganggang
2012-02-14T23:59:59.000Z
paragraphs give brief introductions to each of the two topics. Infinite variance autoregressive models are important for modeling heavy-tailed time series. We use a penalty method to conduct model selection for autoregressive models with innovations...
Galtchouk, Leonid
2008-01-01T23:59:59.000Z
An adaptive nonparametric estimation procedure is constructed for the estimation problem of heteroscedastic regression when the noise variance depends on the unknown regression. A non-asymptotic upper bound for a quadratic risk (an oracle inequality) is constructed.
Sharp non-asymptotic oracle inequalities for nonparametric heteroscedastic regression models
Galtchouk, Leonid
2010-01-01T23:59:59.000Z
An adaptive nonparametric estimation procedure is constructed for heteroscedastic regression when the noise variance depends on the unknown regression. A non-asymptotic upper bound for a quadratic risk (oracle inequality) is obtained
aqueous two-phase poly: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
SDR variance estimator Opsomer, Jean 28 A Characterization of a Dual Chambered, Two Phase Separator Texas A&M University - TxSpace Summary: A new two phase separator for use in...
On Morphological Color Texture Characteri-Erchan Aptoula and Sbastien Lefvre
LefÃ¨vre, SÃ©bastien
space, equipped with genetically optimized arguments. The classication experiments based: Multivariate mathematical morphology, texture, granulometry, co- variance, color ordering. 1. Introduction in a number of texture analysis applications [3, 7, 22, 23]. More precisely, granulometry is a powerful tool
Aguirre, Vincent Phillip
2014-12-12T23:59:59.000Z
Scant research exists regarding the nature of variance in overall level of Health-Related Quality of Life (HRQOL) and parent-child informant perspectives of HRQOL specific to children with functional and organic gastrointestinal (GI) disorders...
asymptotically stable walking: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
with memory of the maximum distance ever reached from the starting point (home). The behavior of the walker is at variance with respect to the simple symmetric random walk (SSRW)...
Rational plunging and the option value of sequential investment : the case of petroleum exploration
Smith, James L.
2006-01-01T23:59:59.000Z
Any investor in assets that can be exploited sequentially faces a tradeoff between diversification and concentration. Loading a portfolio with correlated assets has the potential to inflate variance, but also creates ...
Lagoo, Nishi
2012-07-16T23:59:59.000Z
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 increases...
Ecology, 80(4), 1999, pp. 12781288 1999 by the Ecological Society of America
two areas of the Norwegian Skagerrak coast. In both cases, the variance is intermediate between the Norwegian Skagerrak coast is density dependent, probably because of cannibalism, com- petition for habitat
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 ...
Characterizing time varying program behavior for efficient simulation
Perelman, Erez
2007-01-01T23:59:59.000Z
Reducing the Run-Time of k-Means . 2. Searching for a Smallinto three clusters with k-means. . . . . . . . . .a?ects the CPI errors, k-means variance, and the run-time of
Mechanical & Aerospace Engineering
generation highly complex drivetrain systems (such as HEV, PHEV, FCHEV, ..etc) where the interaction variances due to an inclusion of highly cross linked on-board automatic controls. The development of next
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
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 ...
Verstuyft, Lloyd C.
2010-07-14T23:59:59.000Z
exam results. A student questionnaire and student records were used to gather data. The study included descriptive, multivariate, and analysis of variance to determine the relationship of variables between the two groups that may lead to increased...
Sweeney, David J
2014-07-25T23:59:59.000Z
.S. case of proliferation in the Manhattan Project. Network and operational parameters were found that drove expected Latencies high while others increased the Latency distribution variance. Further confidence was built with historical analyses...
Stochastic flow and transport through multifractal porous media
Essiam, Albert K
2001-01-01T23:59:59.000Z
Stochastic theories of flow and transport in aquifers have relied on the linear perturbation approach that is accurate for flow fields with log-conductivity variance cr2 less than unity. Several studies have found that the ...
Solar Water Heating Requirement for New Residential Construction
Broader source: Energy.gov [DOE]
As of January 1, 2010, building permits may not be issued for new single-family homes that do not include a SWH system. The state energy resources coordinator may provide a variance for this...
Relationship between speed distribution measures and rural two-lane highway characteristics
Collins, Jon Michael
1997-01-01T23:59:59.000Z
Understanding the behavior of speed population distributions on rural two-lane highways is needed to address driver error associated with elements of the highway. Previous research has identified a direct relationship between speed variance...
Aguirre, Vincent Phillip
2014-12-12T23:59:59.000Z
Scant research exists regarding the nature of variance in overall level of Health-Related Quality of Life (HRQOL) and parent-child informant perspectives of HRQOL specific to children with functional and organic gastrointestinal (GI) disorders...
Loss, Daniel
among politicians before the bill might be passed. There is no denying that the JWST is running behind of all will be the loss to science. As Julianne Delcanton wrote on the blog Cosmic Variance, "in many
A&A manuscript no. (will be inserted by hand later)
in spec troscopy, particularly for radial velocity determinations (eg. Philip & Latham 1985). Simkin to as the CCF). Simkin (1974) described the use of the crossvariance function, Weiss, Jenkner & Wood (1978
Journes MAS 2010, Bordeaux Session : Algorithmes Stochastiques
Boyer, Edmond
Carlo adaptatives par Jérome Lelong Adaptive Monte Carlo methods are powerful variance reduction a randomly truncated stochastic algorithm. Finally, we apply this technique to the valuation of nancial deri
Collings, Iain B.
Information Distribution of OFDM-Based Spatial Multiplexing: Exact Variance and Outage Approximation Matthew R of Electrical and Information Engineering, University of Sydney, Australia Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand Department of Electrical
Efficient Estimation in a Regression Model with Missing Responses
Crawford, Scott
2012-10-19T23:59:59.000Z
This article examines methods to efficiently estimate the mean response in a linear model with an unknown error distribution under the assumption that the responses are missing at random. We show how the asymptotic variance is affected...
Chaudhari, Qasim Mahmood
2009-05-15T23:59:59.000Z
. This dissertation focuses on deriving e±cient estimators for the clock parameters of the network nodes for synchronization with the reference node and the estimators variance thresholds are obtained to lower bound the maximum achievable performance. For any general...
Improvements and applications of the Uniform Fission Site method in Monte Carlo
Hunter, Jessica Lynn
2014-01-01T23:59:59.000Z
Monte Carlo methods for reactor analysis have been in development with the eventual goal of full-core analysis. To attain results with reasonable uncertainties, large computational resources are needed. Variance reduction ...
Cleere, Jason James
1998-01-01T23:59:59.000Z
were birth weight (BW), weaning weight (WW), gain on grass (GG), feedlot average daily gain (FG), and slaughter weight (SW). Analyses of variance were performed using the procedures of SAS (1988) to determine differences between CC, family code nested...
Evaluation of Heat Stress and Strain in Electric Utility Workers
Brown, Eric Nicholas
2013-01-01T23:59:59.000Z
load variance. 9. Using HR rec set-points of 110 bpm and120 bpm both correlate well with increasing exposures. 10.rate set- points of 110 bpm and 120 bpm correlated well with
Moses, Randolph L.
(n)>satisfies P x(n)+ajx(n-i)= bkw(n-k) 4 (3) i=O k=O and where {w(n)}is zero-mean, unit variance whitenoise
-- Auto Tuning; Measurement Weights; Power System State Estimation; Random Error Variances. I is not always true. M is used for estimating measurement e1 Abstract--This paper describes an approach for choosing and updating measurement weights used
2] is the average energy of the signal and. N0/2 is the noise variance. To extend the model to .... where ˜H=PV?1. e ˆH and ˜E=PV?1. e E . The random matrix ˜E.
Panel data models with nonadditive unobserved heterogeneity : estimation and inference
Lee, Joonhwan
2014-01-01T23:59:59.000Z
This paper considers fixed effects estimation and inference in linear and nonlinear panel data models with random coefficients and endogenous regressors. The quantities of interest - means, variances, and other moments of ...
Lugo Ibarra, Cruz Yolanda
1999-01-01T23:59:59.000Z
the existing copies of the princess editions and the other editions that followed them, hence, making the collation process to find the variances between the texts a difficult task. Until recently, the conventional ''Pen and Paper'' (PP) (manual) method has...
Osorio Marin, Juliana 1982-
2012-11-12T23:59:59.000Z
elongation. Three different methodologies were used to obtain estimates of heritability; variance components, parent off-spring regression, and realized heritability using F3, F4, and F5 generation. No inbreeding was assumed because there was no family...
Modeling aviation's global emissions, uncertainty analysis, and applications to policy
Lee, Joosung Joseph, 1974-
2005-01-01T23:59:59.000Z
(cont.) fuel burn results below 3000 ft. For emissions, the emissions indices were the most influential uncertainties for the variance in model outputs. By employing the model, this thesis examined three policy options for ...
IT adoption in hospitals : social networking, governance and the clockspeed of change
Samarth, Chandrika N. (Chandrika Nayantara)
2007-01-01T23:59:59.000Z
The healthcare industry is expanding swiftly and total healthcare expenditures are expected to reach 18% of GDP by 2008. However there exist steep variances in quality of care and high incidences of medical error. This has ...
Tweedie Family Densities: Methods of Evaluation
Smyth, Gordon K.
of Queensland, St Lucia, Q 4072, Australia. 2 University of Southern Queensland, Toowoomba, Q 4350, Australia. Tweedie family densities are characterised by power variance functions of the form V[µ] = µp , where p
Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling
Smyth, Gordon K.
. Smyth Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia Bent Jørgensen, dispersion modelling, double generalized linear models, power variance function, REML, risk theory of Medical Research, Post Office, Royal Melbourne Hospital, Parkville, VIC 3050, Australia 1 #12
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 ...
An implementation and analysis of a randomized distributed stack
Kirkland, Dustin Charles
2013-02-22T23:59:59.000Z
interesting conclusions: 1) as the number of uninterrupted pops increases, the variance of the pop success percentage increases, and 2) for a fixed quorum size percentage, a larger system of data servers yields a higher pop success percentage. Further...
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
A quadrature-based technique for robust design with computer simulations
Lin, Yiben
2007-01-01T23:59:59.000Z
This thesis presents a method for estimating transmitted variance to enable robust parameter design in computer simulations. This method is based on the Hermite-Gaussian quadrature for a single input. It is extended to ...
Ferrari, Raffaele
Submesoscale (1–200 km) wavenumber spectra of kinetic and potential energy and tracer variance are obtained from in situ observations in the Gulf Stream region and in the eastern subtropical North Pacific. In the Gulf ...
Farmers’ Adoption of Genetically Modified Varieties with Input Traits
Alexander, Corinne; Fernandez-Cornejo, Jorge; Goodhue, Rachael E
2003-01-01T23:59:59.000Z
the Mean and Variance of GM Crop Yields and Total Costs per41 C.2. Share in GM Crops: Survey Respondents and NASSproperties of GM and non-GM crops obtained from the focus
Effects of cloud seeding activities on the distribution of rainfall in the Texas High Plains
Bomar, George Wayne
1975-01-01T23:59:59.000Z
of the areal percentage change in rainfall of the control and seeded counties disclosed that the change sustained by the seeded counties closely matched that of the control counties. An analysis of variance procedure revealed no statistical difference... in rainfall Graphical investigation of the general rainfall patterns Areal percentage changes in rainfall 46 53 Stat. istical analysis of rainfall variances 62 Application of analysis of var'ance upon monthly rainfall Examination of observed...
Transient queueing approximations for computer networks
Baker, William A.
1986-01-01T23:59:59.000Z
for just the mean. Rothkopf/Oren's and Chang/Wang's methods obtained mean and variance values, and Clark's method produced several quantities which were used to find mean and variance statistics. For the M/M/1 case, the approximations by Gark and Chang... were very ac- curate over a wide range of input patterns and initial conditions. Rothkopf's was accurate over sll conditions but never as accurate as Chang or Clark. Johnston's and Rider's approximations performed acceptably only over some...
Echols, Ralph James
1984-01-01T23:59:59.000Z
. 1. Source of variance, degrees of freedom (d. f. ). . . . . 138 and Expected Mean Squares for analysis of variance. LIST OF FIGURES ~Fi ure plot locations in Bowie and Henderson Counties. . P Sc88 . . 33 Schematic depicting spacing and border... enables the seedlings to develop large root systems prior to critical summr dry periods (Bilan et al. 1978). 32 Four test sites were chosen for the study areas. Two of the locations mre in Bowie County and two were in Henderson County, Texas. Site...
Studies of physical characteristics and animal response to reconstituted sorghum grain
Florence, Harold Douglas
1968-01-01T23:59:59.000Z
USSION SUMMAR Y Z3 53 67 LITERATURE CITED 71 LIST OF TABLES Table Page Index for estimating average particle size of ground sorghum grain. 18 Feedlot performance of bulls fed two feed mix- tures for 93 days (growing period), College Station..., 1967, 24 Feedlot performance of bulls fed four feed mix- tures for 102 days (finishing period), College Station, 1967. 26 Analysis of variance of daily gain 27 t- Test for differences in average daily gain Analysis of variance for average particle...
Effects of centrifugation on bovine semen stored at 5°C and at -196°C
Escriva-Soto, Jose Luis F
1968-01-01T23:59:59.000Z
Considerations Semen Extended in Egg-Yolk-Citrate (EYC) Pelleted Semen 28 34 44 SUMMARY . LITERATURE CITED APPENDIX . 59 62 Photoelectrical Estimation of Sperm Concentration Freezing of Bovine Semen in Concentrated Pelleted Form 69 LIST OF TABLES.../ml at 6 Hours of Age. Analysis of Variance 43 Pelleted Semen. Mean Values Motile Sperm/pellet (x 10 ). 6 Pelleted Semen. Percent Motile Sperm/pellet After Freezing. Analysis of Variance. 45 10 Pelleted Semen. Percent Motile Sperm/pellet After...
Pre- and post-emergence weed control in bermudagrass turf
Duble, Richard L
1965-01-01T23:59:59.000Z
Station, Texas, 1963. 34 10 Effects of arsenicals on common bermudagrass and nutsedge after 3 applications, College Station, Texas. 1964. 35 v Table Page An evaluation of the phytotoxicity of arseniqals to Tifgreen bermudagrass pnder golf green... to arsenic, College Station, Texas, 1964. 45 16 The analysis of variance of pre-emergence crabgrass control data under field conditions with 4-hydroxy- 3-nitrobenzene ar sonic acid, College Station, Texas, 1963. 59 17 The analysis of variance...
Sorensen, F.C.; Weber, J.C.
1994-02-01T23:59:59.000Z
Adaptive genetic variation in seed and seedling traits was evaluated for 280 families from 220 locations. Factor scores from three principal components were related by multiple regression to latitude, longitude, elevation, slope, and aspect of the seed source, and by classification analysis to seed zone and elevation band in seed zone. Location variance was significant but not large. Multiple regression equations explained less than 50 percent of location variance. Slope-aspect variables were important.
3.5. EFFICIENCY FACTORS 63 3.5 Efficiency factors
Bailey, R. A.
3.5. EFFICIENCY FACTORS 63 3.5 Efficiency factors For comparison we consider a complete) and the variance of the estimator of x is (x L-x)2 CBD, which is equal to r-1x x2 CBD. Definition The efficiency to a complete-block design with variance 2 CBD and the same replication is x x rx L-x 2 CBD 2 and the efficiency
Lamprecht, William Otto
1967-01-01T23:59:59.000Z
and understanding which made it ail worth while. TABLE OF CONTENTS Page ACKNOWLEDGMENTS LIST OF TABLES LIST OF FIGURES V Vl Chapter I. INTRODUCTIOiN II. EXPERIMENTAL PROCEDURE III. MULTIPLE REGRFSSION ANALYSIS ON DIETARY FEED INTAKE IV. DISCRIMINANT... Including Periods 8. Discriminant Analysis - Preliminary Analysis (17 Discriminants) 28 35 9. Oiscriminant Analysis Lambda \\lalues and Analysis of Variance . 38 10. Discriminant Analysis Lambda Values and Analysis of Variance on Log Transformed Data...
Subterranean clover as a cover crop and nitrogen source for minimum-tillage grain sorghum production
Lemon, Robert
1986-01-01T23:59:59.000Z
analysis of variance for grain sorghum population densities, 1984. 24 Table 3. Mean squares from analysis of variance for grain sorghum population densities, 1985. 25 Table 4. Plant densities as affected by tillage and applied N. . 26 Table 5. Mean... by grain. Table 24. Effects of tillage and applied N on N removed by biomass Table 25. Total N removed in aboveground dry matter as affected by tillage and applied N. Table 26. Clover dry matter production, N concentration, and total N content...
Wavelet Analysis of Clock Noise Don Percival
Percival, Don
#12;Wavelet-Based Analysis of Variance: I Â· consider `energy' in time series: X 2 = XT X = N-1 t=0 X2 t Â· energy preserved in MODWT coefficients: X 2 = J0 j=1 Wj 2 + VJ0 2 Â· leads to analysis of sample variance Y (2, j) since 2 Y (j) = 1 22 Y (2, j) Â· Q: `old wine in a new bottle,' or something new? 9 #12;What
Percival, Don
at a given scale 7 #12; WaveletÂBased Analysis of Variance: I . consider `energy' in time series: #X# 2 = X T X = P N-1 t=0 X 2 t . energy preserved in MODWT coe#cients: #X# 2 = J 0 X j=1 # f W j # 2 + # e V J t essentially same as Allan variance # 2 Y (2, # j ) since # 2 Y (# j ) = 1 2 # 2 Y (2, # j ) . Q: `old wine
The Low-Income Housing Program in the Louisiana and Mississippi Gulf Opportunity Zones
Christman, Casey; Johnson, David; Rho, Eunju; Stein, Eric; Taylor, Beth
2008-01-01T23:59:59.000Z
1 Texas A&M University The Bush School of Government and Public Service The Low-Income Housing Program in the Louisiana and Mississippi Gulf Opportunity Zone For The Congressional Research Service Contract... ............................................. 40? Table 24: Variance in Estimates - LIHTC Projects in Louisiana .......................... 40? 6 Table 25: Variance in Estimates - LIHTC Units in Selected Parishes ................. 42? Table 26: Proposed Block Counting (e.g. District Level...
Fuentes, Rick R
1988-01-01T23:59:59.000Z
to this type of item may be falsified. The falsification of information on unverifiable items may result in an artificially inflated score that may reduce the validity coefficient. Indeed, it has been found that faking information on even one "bogus" item... in a questionnaire introduces error variance that may distort the obtained validity coefficients (Pannone, 1983). Error variance as a result of faking or cheating may have a deleterious effect on an instrument used for personnel selection. Thus...
Gate fidelity fluctuations and quantum process invariants
Magesan, Easwar; Emerson, Joseph [Institute for Quantum Computing and Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1 (Canada); Blume-Kohout, Robin [Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)
2011-07-15T23:59:59.000Z
We characterize the quantum gate fidelity in a state-independent manner by giving an explicit expression for its variance. The method we provide can be extended to calculate all higher order moments of the gate fidelity. Using these results, we obtain a simple expression for the variance of a single-qubit system and deduce the asymptotic behavior for large-dimensional quantum systems. Applications of these results to quantum chaos and randomized benchmarking are discussed.
2007 Wholesale Power Rate Case Initial Proposal : Direct Testimony.
United States. Bonneville Power Administration.
2005-11-01T23:59:59.000Z
The purpose of our testimony is to sponsor the rate design portions of Bonneville Power Administration's (BPA) Wholesale Power Rate Development Study (WPRDS), WP-07-E-BPA-05, and associated portions of the Wholesale Power Rate Schedules and GRSPs (WP-07-E-BPA-07). Our testimony is organized in eight sections. The first section outlines the purpose of our testimony. Section 2 describes BPA's Demand Rates, including subsections on the definition of the Demand Rate, the method for computing the Demand Rates, and differences from the currently effective WP-02 Demand Rate. Section 3 describes BPA's Load Variance Rate, with subsections on the definition and purpose of the Load Variance Rate, application of the Load Variance Rate, how the Load Variance Rate is calculated, and the differences from the WP-02 Load Variance Rate. Section 4 describes the steps involved in developing BPA's energy rates and differences from the WP-02 rate case. Section 5 discusses discontinuation of the Stepped Up Multi-Year Block Rate. Section 6 describes a minor change to the Unauthorized Increase Rates and the Excess Factoring Rates. Section 7 describes the Targeted Adjustment Charge. Section 8 addresses the Operating Reserves Credit.
Bao, Jie; Chu, Yanjun; Xu, Zhijie; Tartakovsky, Alexandre M.; Fang, Yilin
2014-02-02T23:59:59.000Z
We present an analysis of the geomechanical effects of injection rate fluctuations for geological sequestration of carbon dioxide (CO2). Initially, we present analytical solutions for the effects of injection rate fluctuations on CO2 fluid pressure spatial distribution and temporal evolution for a typical injection scenario. Numerical calculations are performed using a finite element method to investigate the effects of injection rate fluctuations on geomechanical deformation, stresses, and potential failure of the aquifer and caprock layers. The numerical method was first validated by the fluid pressure 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.
1993-01-01T23:59:59.000Z
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 total US steam electric generating capacity 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 describes alternatives available to nuclear and coal-fired plants currently operating under variances. Data from 38 plants representing 14 companies are used to estimate the national cost of implementing such alternatives. Although there are other alternatives, most affected plants would be retrofitted with cooling towers. Assuming that all plants currently operating under variances would install cooling towers, the national capital cost estimate for these retrofits ranges from $22.7 billion to $24.4 billion (in 1992 dollars). The second report quantitatively and qualitatively evaluates the energy and environmental impacts of deleting the variance. Little justification has been found for removing the Section 316(a) variance from the CWA.
Biometric Authentication using Nonparametric Methods
Sheela, S V; 10.5121/ijcsit.2010.2309
2010-01-01T23:59:59.000Z
The physiological and behavioral trait is employed to develop biometric authentication systems. The proposed work deals with the authentication of iris and signature based on minimum variance criteria. The iris patterns are preprocessed based on area of the connected components. The segmented image used for authentication consists of the region with large variations in the gray level values. The image region is split into quadtree components. The components with minimum variance are determined from the training samples. Hu moments are applied on the components. The summation of moment values corresponding to minimum variance components are provided as input vector to k-means and fuzzy kmeans classifiers. The best performance was obtained for MMU database consisting of 45 subjects. The number of subjects with zero False Rejection Rate [FRR] was 44 and number of subjects with zero False Acceptance Rate [FAR] was 45. This paper addresses the computational load reduction in off-line signature verification based o...
System level analysis and control of manufacturing process variation
Hamada, Michael S.; Martz, Harry F.; Eleswarpu, Jay K.; Preissler, Michael J.
2005-05-31T23:59:59.000Z
A computer-implemented method is implemented for determining the variability of a manufacturing system having a plurality of subsystems. Each subsystem of the plurality of subsystems is characterized by signal factors, noise factors, control factors, and an output response, all having mean and variance values. Response models are then fitted to each subsystem to determine unknown coefficients for use in the response models that characterize the relationship between the signal factors, noise factors, control factors, and the corresponding output response having mean and variance values that are related to the signal factors, noise factors, and control factors. The response models for each subsystem are coupled to model the output of the manufacturing system as a whole. The coefficients of the fitted response models are randomly varied to propagate variances through the plurality of subsystems and values of signal factors and control factors are found to optimize the output of the manufacturing system to meet a specified criterion.
Some results on optimum allocation for sampling on two occasions
Shimizugawa, Hisako
1966-01-01T23:59:59.000Z
. Optimum allocation of m and u fcr the estimation of Y when the total oost is fixed to cO + c R . n 21 2. Optimum allocation of m and u. for the estimation of Y when the total cost is fixed to cO + c n, (i. e. , u R n). The minimum variance of y ~ (1/Q... - I/H) S . . . 2$ Optimum allocation of m and u for the estimation oi' Y 2 when the variance of y is fixed to (1/Qd ? I/I) S . . . 25 4. Optimum allocation of m and u for the estimation of I 2 Y when the variance of y is fixed to (1/n - I/K) S d...
Energy Dependence of Multiplicity Fluctuations in Heavy Ion Collisions
Lungwitz, B; Anticic, T; Baatar, B; Barna, D; Bartke, J; Betev, L; Bia?kowska, H; Blume, C; Boimska, B; Botje, M; Bracinik, J; Bramm, R; Buncic, P; Cerny, V; Christakoglou, P; Chung, P; Chvala, O; Cramer, J G; Csató, P; Dinkelaker, P; Eckardt, V; Flier, D; Fodor, Z; Foka, P; Friese, V; Gál, J; Ga´zdzicki, M; Genchev, V; Georgopoulos, G; G?adysz, E; Grebieszkow, K; Hegyi, S; Höhne, C; Kadija, K; Karev, A; Kikola, D; Kliemant, M; Kniege, S; Kolesnikov, V I; Kornas, E; Korus, R; Kowalski, M; Kraus, I; Kreps, M; Laszlo, A; Lacey, R; Van Leeuwen, M; Lévai, Peter; Litov, L; Makariev, M; Malakhov, A I; Mateev, M; Melkumov, G L; Mischke, A; Mitrovski, M; Molnár, J; Mrówczynski, S; Nicolic, V; Pálla, G; Panagiotou, A D; Panayotov, D; Petridis, A; Peryt, W; Pikna, M; Pluta, J; Prindle, D; Pühlhofer, F; Renfordt, R; Roland, C; Roland, G; Rybczynski, M; Rybicki, A; Sandoval, A; Schmitz, N; Schuster, T; Seyboth, P; Siklér, F; Sitár, B; Skrzypczak, E; Slodkowski, M; Stefanek, G; Stock, R; Strabel, C; Ströbele, H; Susa, T; Szentpétery, I; Sziklai, J; Szuba, M; Szymanski, P; Trubnikov, V; Varga, D; Vassiliou, M; Veres, G I; Vesztergombi, G; Vranic, D; Wetzler, A; W?odarczyk, Z; Wojtaszek, A; Yoo, I K; Zimányi, J; Lungwitz, Benjamin
2006-01-01T23:59:59.000Z
The energy dependence of multiplicity fluctuations was studied for the most central $Pb+Pb$ collisions at $20A$, $30A$, $40A$, $80A$ and $158A$ GeV by the NA49 experiment at the CERN SPS. The multiplicity distribution for negatively and positively charged hadrons is significantly narrower than Poisson one for all energies. No significant structure in energy dependence of the scaled variance of multiplicity fluctuations is observed. The measured scaled variance is lower than the one predicted by the grand-canonical formulation of the hadron-resonance gas model. The results for scaled variance are in approximate agreement with the string-hadronic model UrQMD.
Variation and correlation of hydrologic properties
Wang, J.S.Y. [Lawrence Berkeley Lab., CA (United States)
1991-06-01T23:59:59.000Z
Hydrological properties vary within a given geological formation and even more so among different soil and rock media. The variance of the saturated permeability is shown to be related to the variance of the pore-size distribution index of a given medium by a simple equation. This relationship is deduced by comparison of the data from Yucca Mountain, Nevada (Peters et al., 1984), Las Cruces, New Mexico (Wierenga et al., 1989), and Apache Leap, Arizona (Rasmussen et al., 1990). These and other studies in different soils and rocks also support the Poiseuille-Carmen relationship between the mean value of saturated permeability and the mean value of capillary radius. Correlations of the mean values and variances between permeability and pore-geometry parameters can lead us to better quantification of heterogeneous flow fields and better understanding of the scaling laws of hydrological properties.
Water Vapor Turbulence Profiles in Stationary Continental Convective Mixed Layers
Turner, D. D.; Wulfmeyer, Volker; Berg, Larry K.; Schween, Jan
2014-10-08T23:59:59.000Z
The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) 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.
Statistical Analysis Of Tank 5 Floor Sample Results
Shine, E. P.
2012-08-01T23:59:59.000Z
Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, and the radionuclide, elemental, and chemical concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements above their MDCs. The identification of distributions and the selection of UCL95 procedures generally followed the protocol in Singh, Armbya, and Singh [2010]. When all of an analyte's measurements lie below their MDCs, only a summary of the MDCs can be provided. The measurement results reported by SRNL are listed in Appendix A, and the results of this analysis are reported in Appendix B. The data were generally found to follow a normal distribution, and to be homogenous across composite samples.
STATISTICAL ANALYSIS OF TANK 5 FLOOR SAMPLE RESULTS
Shine, E.
2012-03-14T23:59:59.000Z
Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, radionuclide, inorganic, and anion concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements above their MDCs. The identification of distributions and the selection of UCL95 procedures generally followed the protocol in Singh, Armbya, and Singh [2010]. When all of an analyte's measurements lie below their MDCs, only a summary of the MDCs can be provided. The measurement results reported by SRNL are listed in Appendix A, and the results of this analysis are reported in Appendix B. The data were generally found to follow a normal distribution, and to be homogeneous across composite samples.
Statistical Analysis of Tank 5 Floor Sample Results
Shine, E. P.
2013-01-31T23:59:59.000Z
Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, and the radionuclide1, elemental, and chemical concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements above their MDCs. The identification of distributions and the selection of UCL95 procedures generally followed the protocol in Singh, Armbya, and Singh [2010]. When all of an analyte's measurements lie below their MDCs, only a summary of the MDCs can be provided. The measurement results reported by SRNL are listed, and the results of this analysis are reported. The data were generally found to follow a normal distribution, and to be homogenous across composite samples.
Phenological development of grain sorghum as affected by planting date
Medley, James C.
1998-01-01T23:59:59.000Z
. Variance Source df Mean S uares Pr)F 1994 Model Replications (REP) Planting Date (PD) PD x REP Genotype (G) GxPD 25 6. 4867 0. 0001 1. 5238 0. 0038 4. 5667 0. 0001 1. 7417 0. 0040 1. 0417 0. 0366 112. 6667 0. 0001 Error 70 0. 4542 1995 Model... College Station, TX, 1994 and 1995. Variance Source df Mean S uares Pr)F 1994 Model Replications (REP) Planting Date (PD) PD x REP Genotype (G) Gx PD 25 11. 9204 0. 3913 256. 7604 0. 4509 2. 6104 4. 4604 0. 0001 0. 2751 0. 0001 0. 1924...
Statistical methods for detecting loss of materials using NRTA data
Burr, T.; Coulter, A.; Hakkila, A. [Los Alamos National Lab., NM (United States); Ai, H.; Kadokura, I.; Fujimaki, K. [Japan Nuclear Fuel Ltd., Tokyo (Japan)
1995-12-31T23:59:59.000Z
The authors selected eight sequential statistical tests and studied their performance on near-real-time-accounting (NRTA) data that is nominally what is expected from the proposed Rokkasho Reprocessing Plant in Japan. The effort divided into three main activities: (1) use process-flow information to determine process vessel inventories and transfers at the time of material balance closure, (2) use variance propagation methods to estimate the variance-covariance matrix of a sequence of material balances, and (3) study the performance of eight sequential tests on a variety of loss scenarios. This paper describes the results of these three activities.
Studies on fruit cracking of tomatoes
Cotner, Sam Don
1966-01-01T23:59:59.000Z
calcium , 33 Means for naturally occurring cracks as influenced by foliar calcium applications 33 Analysis of variance for tomato fruit cracking as influended by foliar applications of CaC12 36 LIST QF TABLES CONTINUED 17. Analysis of variance...on of the cell contents oi' tomato fruits late in the season have been reported (10). Whatley (37) states that there is a 20 percent increase in osmot1c pressure from mature green to the red ripe stags. Radial cracking may be due to an increase...
An experimental study of a six key handprint chord keyboard
Wolstein, Sheldon Aaron
1986-01-01T23:59:59.000Z
er Dr. R. Quinn Brackett Head o Department Dr. Leland T. Blank May 1986 ABSTRACT An Exper1mental Study of a Six Key Handprlnt Chord Keyboard (May 1986) Sheldon Aaron Wolstein, B. S. , Texas ASM University Cha1r of Advisory Committee: Dr... PRACTICE ARTICLE UITA 7Z 7B IUU IUB 1U7 11U 111 LIST OF TABLES Page TABLE I Results of Typing Test: Means and Standard Deviations 25 TABLE 2 Means and Variances for Letter Sequence Times 28 TABLE 3 Analysis of Variance for Letter Sequence...
Efficient Small Area Estimation in the Presence of Measurement Error in Covariates
Singh, Trijya
2012-10-19T23:59:59.000Z
for the four estimators, yi, eYiS, bYiME, bYiSIMEX when the number of small areas is 100, measure- ment error variance Ci = 3 and 2v = 4. k is the percentage of areas having auxiliary information measured with error. : : : : : : : 52 2 Absolute value... 3 Jackknife estimates of the mean squared error of the Lohr-Ybarra estimator bYiME and the SIMEX estimator bYiSIMEX when the num- ber of small areas is 100, measurement error variance Ci = 2 and 2v = 4. k is the percentage of areas having...
Partial efficiencies of feed conversion of female cattle kept in confinement
Portzer, Sandra Jane
1986-01-01T23:59:59.000Z
FOR BODY SIZE AT FIRST CONCEPTIDN. MODEL I AND &MODEL I I ) . 43 LEAST-SQUARES MEANS AND STANDARD ERRORS FOR BODY SIZE AT FIRST CONCEPTION. MODEL I 14 LEAST-SQUARES MEANS AND STANDARD ERRORS FOR BODY SIZE AT FIRST CONCEPTION. MODEL II . . . 45 15... ANALYSES PF VARIANCE FOR BODY SIZE AT PARTURITIDN. MODEL I AND &MODEL I I) . . . 46 16 LEAST-SQUARES MEANS AND STANDARD ERRORS FOR BODY SIZE AT PARTURITIDN. MODEL 11 17 ANALYSES DF VARIANCE FOR COW BODY SIZE AT 100 DAYS POSTPARTUM 18 LEAST...
Retzer, Kent Arnold
1985-01-01T23:59:59.000Z
of Respiratory Rate . 6 2 Analysis of Variance Procedure for 0-2 Hour Average. . . 12 3 Analysis of Variance Procedure for 30 Minutes 13 Duncan's Multiple Range Test for 30 Minutes and 0-2 Hour Average and Acclimation Temperature 5 Duncan's Multiple Range... Test for 30 Minutes and 0-2 Hour Average and Experimental Temperature . 15 16 6 Duncan's Multiple Range Test for 30 Minutes and 0-2 Hour Average and Experimental Salinity 17 7 Duncan's Multiple Range Test for 30 Minutes and 0-2 Hour Average...
A comparison of silage and grain yields of four corn hybrids at three locations in Texas
Martelino, Rafael Agcaoili
1954-01-01T23:59:59.000Z
A (X)HPARISOM Of SILAGM AND GRAIN YI~ QF FODR ~ HYBRIDS AT THRE1'' LOGATIONS IM TzXAS A Thesis RAPAol, A. I JKThI, INO Approve as to stgrle aml content Qs (~chairmen of GcnsmLtt ( Haad Department June, 1&54 , ;. RY OF TE A v... 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...
Studies on the heritability of factors related to heat tolerance in cattle
Bailey, Curtiss Merkel
1954-01-01T23:59:59.000Z
of the sires~ which is characteristic of a heritable trait. Tables V, VI, VII, VIII, and IZ show that differences between offspring of the sane sire are highIF signif icant, TABLE V ANALISIS OF VARIANCE OF HAIR DENSITY REASONED OH EUUUHAN CATTLE Source... of Variation Mean Square Total Sires Offspring of the sass sire 12 Observations on the sane animal 153 186773 ?? 22oy6 e? 4744 ee significant hoped the . 01 level of probabiIity TABLE VI ANALISIS OF VARIANCE OF HAIR DENSITI MEASURED ON ANGUS CATTLE...
Bird, L. S.
1955-01-01T23:59:59.000Z
.............................. 2li LIST OF TABLES Table Text Page 10 D, H, Ei and E2 values for the three crosses RGD S R 2 9 Pi x P3 and ?i x P^ . ................................. 26 11 Analysis of variance for the linkage tests for the three crosses where Vjp O ^BFo FN1.U...2 are e x c l u d e d ...........? . . . ......................... 28 12 Analysis of variance for the linkage tests for the three crosses where VBF3 excluded entirely and and Vgi+32 3X6 excluded for the t e s t ........... 29 13 Observed...
Makumbi, Dan
2006-10-30T23:59:59.000Z
……………………………………...……………………………… 94 3.4 Combined analysis of variance and means for grain yield and agronomic traits across low N stress environments……….…………………………………………… 99 3.5 Combined analysis of variance and means for grain yield and agronomic traits across optimal.... They also reported a significant gain of 9.4% for ears per plant and an increase in kernel number per fertile ear in early cycles of selection under drought conditions. Bolaños and Edmeades (1993a) further reported that about 25% of the gains that were...
Detecting Contagion with Correlation: Volatility and Timing Matter
Dungey, Mardi; Yalama, Abdullah
, UK, Italy, Germany and Switzerland follow Austria with variances of under 1% in pre-crisis period to in some cases over 5% in the post-crisis period. Similar patterns are mirrored in the 4pm where the Austrian variance rises from nearly 0.99... .E. and Pritsker, M., 2002, A Rational Expectations Model of Financial Contagion, Journal of Finance, 57, 2, 768-99. [8] Martens, M. and Poon, S-H., 2001, Returns Synchronization and Daily Correlation Dynamics Between International Stock Markets, Journal of Banking...
Diversity systems for Rayleigh fading channels: an application of multiple description source codes
Yang, Shih-Ming
1993-01-01T23:59:59.000Z
for R=3, k=3 (left) and 4 (right). V Index assignments for R=3, k=5 (left) and 6 (right). 46 46 47 47 VI Optimum 15-level MDSQ design for a unit variance memoryless Gaussian source, R = 3. 0 bpss, E(ds) = 0. 010527, E(ds) E(ds) = 0. 036519. 48... VII Optimum 31-level MDSQ design for a unit variance memory- less Gaussian source, R = 4. 0 bps, E(ds) =0. 0026756, E(dr) = E(ds) =0. 0098501. 49 VIII Optimal thresholds for the 39, 47, 53, and 57-level MDSQ-based systems using the central and side...
Toward Joint Hypothesis-Tests Seismic Event Screening Analysis: Ms|mb and Event Depth
Anderson, Dale [Los Alamos National Laboratory; Selby, Neil [AWE Blacknest
2012-08-14T23:59:59.000Z
Well established theory can be used to combine single-phenomenology hypothesis tests into a multi-phenomenology event screening hypothesis test (Fisher's and Tippett's tests). Commonly used standard error in Ms:mb event screening hypothesis test is not fully consistent with physical basis. Improved standard error - Better agreement with physical basis, and correctly partitions error to include Model Error as a component of variance, correctly reduces station noise variance through network averaging. For 2009 DPRK test - Commonly used standard error 'rejects' H0 even with better scaling slope ({beta} = 1, Selby et al.), improved standard error 'fails to rejects' H0.
The landscape of G-structures in eight-manifold compactifications of M-theory
Babalic, Elena Mirela
2015-01-01T23:59:59.000Z
We consider spaces of "virtual" constrained generalized Killing spinors, i.e. spaces of Majorana spinors which correspond to "off-shell" $s$-extended supersymmetry in compactifications of eleven-dimensional supergravity based on eight-manifolds $M$. Such spaces naturally induce two stratifications of $M$, called the chirality and stabilizer stratification. For the case $s=2$, we describe the former using the canonical Whitney stratification of a three-dimensional semi-algebraic set ${\\cal R}$. We also show that the stabilizer stratification coincides with the rank stratification of a cosmooth generalized distribution ${\\cal D}_0$ and describe it explicitly using the Whitney stratification of a four-dimensional semi-algebraic set $\\mathfrak{P}$. The stabilizer groups along the strata are isomorphic with $\\mathrm{SU}(2)$, $\\mathrm{SU}(3)$, $\\mathrm{G}_2$ or $\\mathrm{SU}(4)$, where $\\mathrm{SU(2)}$ corresponds to the open stratum, which is generically non-empty. We also determine the rank stratification of a lar...
The landscape of G-structures in eight-manifold compactifications of M-theory
Elena Mirela Babalic; Calin Iuliu Lazaroiu
2015-05-09T23:59:59.000Z
We consider spaces of "virtual" constrained generalized Killing spinors, i.e. spaces of Majorana spinors which correspond to "off-shell" $s$-extended supersymmetry in compactifications of eleven-dimensional supergravity based on eight-manifolds $M$. Such spaces naturally induce two stratifications of $M$, called the chirality and stabilizer stratification. For the case $s=2$, we describe the former using the canonical Whitney stratification of a three-dimensional semi-algebraic set ${\\cal R}$. We also show that the stabilizer stratification coincides with the rank stratification of a cosmooth generalized distribution ${\\cal D}_0$ and describe it explicitly using the Whitney stratification of a four-dimensional semi-algebraic set $\\mathfrak{P}$. The stabilizer groups along the strata are isomorphic with $\\mathrm{SU}(2)$, $\\mathrm{SU}(3)$, $\\mathrm{G}_2$ or $\\mathrm{SU}(4)$, where $\\mathrm{SU(2)}$ corresponds to the open stratum, which is generically non-empty. We also determine the rank stratification of a larger generalized distribution ${\\cal D}$ which turns out to be integrable in the case of compactifications down to $\\mathrm{AdS}_3$.
Niger delta deepwater region petroleum potential assessment
Thomas, D. [Thomas and Associates, Hastings (United Kingdom)
1995-12-18T23:59:59.000Z
On behalf of the Nigerian Ministry of Petroleum and Natural Resources some 23,000 km of high quality 192 channel, 96 fold seismic, and associated gravity and magnetic data were acquired by TGSI-Mabon Geophysical Co. and made available to the industry in 1991. These data were collected over all deepwater blocks in conjunction with the planned 1993 license round. Later, during 1993 and 1994 TGSI with Mabon Ltd. and Stratum Petroleum Services extended the program onto the shelf (7,000 km) and into the ultra deepwater areas (6,400 km), making possible modern studies of the entire offshore delta complex. In assessing the petroleum potential of an undrilled region, it is useful to refer to analogous basins or provinces already with histories of hydrocarbon exploration and discovery. With this in mind, and using limited data from the already drilled areas of Nigeria offshore, the adjacent West Africa salt basin and Brazil in particular, an attempt is made to discuss the hydrocarbon habitat of the undrilled Niger delta deepwater offshore sedimentary sequences.
Black, Adrienne T. [Pharmacology and Toxicology, Rutgers University, Piscataway, NJ (United States); Hayden, Patrick J. [MatTek Corporation, Ashland, MA (United States); Casillas, Robert P. [Battelle Memorial Institute, Columbus, OH (United States); Heck, Diane E. [Environmental Health Sciences, New York Medical College, Valhalla, NY (United States); Gerecke, Donald R. [Pharmacology and Toxicology, Rutgers University, Piscataway, NJ (United States); Sinko, Patrick J. [Pharmaceutics, Rutgers University, Piscataway, NJ (United States); Laskin, Debra L. [Pharmacology and Toxicology, Rutgers University, Piscataway, NJ (United States); Laskin, Jeffrey D., E-mail: jlaskin@eohsi.rutgers.ed [Environmental and Occupational Medicine, UMDNJ-Robert Wood Johnson Medical School, Piscataway, NJ (United States)
2010-12-01T23:59:59.000Z
Sulfur mustard is a potent vesicant that induces inflammation, edema and blistering following dermal exposure. To assess molecular mechanisms mediating these responses, we analyzed the effects of the model sulfur mustard vesicant, 2-chloroethyl ethyl sulfide, on EpiDerm-FT{sup TM}, a commercially available full-thickness human skin equivalent. CEES (100-1000 {mu}M) caused a concentration-dependent increase in pyknotic nuclei and vacuolization in basal keratinocytes; at high concentrations (300-1000 {mu}M), CEES also disrupted keratin filament architecture in the stratum corneum. This was associated with time-dependent increases in expression of proliferating cell nuclear antigen, a marker of cell proliferation, and poly(ADP-ribose) polymerase (PARP) and phosphorylated histone H2AX, markers of DNA damage. Concentration- and time-dependent increases in mRNA and protein expression of eicosanoid biosynthetic enzymes including COX-2, 5-lipoxygenase, microsomal PGE{sub 2} synthases, leukotriene (LT) A{sub 4} hydrolase and LTC{sub 4} synthase were observed in CEES-treated skin equivalents, as well as in antioxidant enzymes, glutathione S-transferases A1-2 (GSTA1-2), GSTA3 and GSTA4. These data demonstrate that CEES induces rapid cellular damage, cytotoxicity and inflammation in full-thickness skin equivalents. These effects are similar to human responses to vesicants in vivo and suggest that the full thickness skin equivalent is a useful in vitro model to characterize the biological effects of mustards and to develop potential therapeutics.
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
Modeling Atmospheric Circulation Changes over the North Pacific
Percival, Don
density function (SDF) . essential di#erence between processes -- AR(1) ACVS dies down quickly and variance # 2 # 3. |#| SDF given by s X,# # cov{X t , X t noise; LM if # > 0) . ACVS and SDF given by s Y,# = # 2 # sin(##)#(1 - 2#)#(# + #) ##(# + 1 - #) & S Y
Modeling North Pacific Climate Time Series Don Percival
Percival, Don
Â autocovariance sequence (ACVS) and Â spectral density function (SDF) Â· essential difference between processes with mean zero and variance 2 3. || SDF given by sX, cov if > 0) Â· ACVS and SDF given by sY, = 2 sin()(1 - 2)( + ) ( + 1 - ) & SY (f) = 2 |2 sin(f)|2 Â· for 1
Ahmed, Farid
discriminant function (SDF) filters, like minimum average correlation energy (MACE), minimum variance SDF (MVSDF) ,and optimal tradeoff SDF (OTSDF) have been proposed recently for the distortion in three different ways. In the synthetic discriminant function (SDF) filter approach,"2 a number
Interpretation of North Pacific Variability as a Short and Long Memory Process
Percival, Don
) and Â spectral density function (SDF) Â· essential difference between processes Â AR(1) ACVS dies down quickly, then Xt is white noise) Â· ACVS and SDF given by sX, cov{Xt, Xt+ } = 2 || 1 - 2 & SX(f) = 2 1 + 2 - 2 cos with mean zero and variance 2 3. || 0) Â· ACVS and SDF given
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
Project Sponsors:UCI Combustion Laboratory www.ucicl.uci.edu
Mease, Kenneth D.
capabilities of time-efficient CFD models to provide reliable predictions of mixing of natural gas in model of natural gas into non- swirling and swirling air flows. Examples of quantitative and qualitative comparison of Mixing of Natural Gas in Model Premixers ANOVA Results RESULTS (continued) ·ANOVA (ANalysis Of VAriance
Lizhu Chen; Zhiming Li; Yuanfang Wu
2014-08-28T23:59:59.000Z
By the generator of the UrQMD model, event statistics for the products of kurtosis ($\\kappa$) and variance ($\\sigma^2$) of net-proton and net-charge multiplicity distributions are carefully studied. It is shown that the statistics at RHIC/BES below $\\sqrt {s_{NN}} statistics dependence of the data and reduce the initial size fluctuation as well.
Noone, David
telescopically from the time of Galileo. Geomagnetic activity, driven by the solar wind, has been measured since, geomagnetic activity, auroral appearances and in cosmogenic isotopes. Sunspots have been observed) in the Southern Hemisphere. The NAM currently accounts for an average of 22% of the wintertime variance of the sea
Jussi Klemela December 7, 2010
KlemelÃ¤, Jussi
use only the recent data, taking into account the possible non- stationarity in the long time series calculate some examples of Markowitz optimal portfolio vectors. 1. Let us invest the proportion b to a stock of the stock be EU = 1 + Âµ and the variance Var(U) = 2 . Then, EY - 2 Var(Y ) = Âµr + b(Âµ - Âµr) - 2 b2 2
THE ROLE OF STOCHASTIC AND DETERMINISTIC PROCESSES IN STRUCTURING NEOTROPICAL BAT COMMUNITIES
Willig, Michael
ecomorphologicalcharacteristics (mean and variance of segment lengths of minimum-spanning trees from principal component scoresTHE ROLE OF STOCHASTIC AND DETERMINISTIC PROCESSES IN STRUCTURING NEOTROPICAL BAT COMMUNITIES A~s~uac~.-Theextent to which deterministic or stochastic processes affect the composition
Methods to sample air borne propagules of Aspergillus flavus C.H. Bock1,2,
Cotty, Peter J.
dispersal, spore sampling Abstract Three techniques (cyclone samplers, filter samplers and rotorods) were. Analysis of variance indicated no significant difference between cyclone and filter samplers in quantity of colony forming units caught, but there was a positive correlation between catches of the three separate
Original article Effect of a horse's month of birth on its future sport
Boyer, Edmond
Original article Effect of a horse's month of birth on its future sport performance. I. Effect of birth was tested through variance analysis and was significant in every case. Horses that are born early in the year had an advantage and performed better than horses born later. The effect varied in magnitude
Andrew Weisberg DOE-Annual-030520-1 Hydrogen Storage
and facilities occupancy · Operating Plan for FY02 presumed eviction from 50% of lab space · Actual Schedule: 4 · Risk of `suppressed' failure modes with higher variance is neglected in current safety standards. Gaussian) correct in the limit of the minimum of a large series of positive random values Overlap of 1/m
to increase throughput for materials analysis; focus on variance and similarities between materials systems Successes 10 invited presentations at conferences and research institutions, 3 papers published Project 2 symmetry across a variety of materials systems. Generic Grain Boundary Structures 0.5 nm 0.5 nm 22.6Â° 13
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
Homem-de-Mello,Tito
. Lawson, D.M. Nicol, and R. M. Fujimoto, eds. QUASI-MONTE CARLO STRATEGIES FOR STOCHASTIC OPTIMIZATION stochastic optimization problems using sampling methods. Numerical results have shown that using variance in terms of the number of sam- ples needed for convergence of the optimal objective value and optimal
Garrett, Karen A.
2012-01-01T23:59:59.000Z
Global warming a b s t r a c t If climate change scenarios include higher variance in weather variables, Manhattan, KS 66506, USA b Department of Zoology, University of Oxford, UK c Crop Management and Production Systems Division, International Potato Center, PO Box 1558, Lima 12, Peru d Department of Electrical
Plotkin, Steven S.
2002-01-01T23:59:59.000Z
: 10.1017/S0033583502003785 Printed in the United Kingdom 205 Understanding protein folding with energy and kinetics of protein folding 234 5.1 A protein Hamiltonian with cooperative interactions 234 5.2 Variance of native contact energies 235 5.3 Thermodynamics of protein folding 236 5.4 Free-energy surfaces
Qiu, Weigang
Analysis & R Tutorial #12;DNA Microarrays An R Tutorial R: Graphics and Statistics beyond Excel R: an Open Source statistical package (http://www.r-project.org) RStudio: a Graphic User Interface to R (http(stock) # median > range(stock) # mim and max > sum(stock) # sum > var(stock) # variance > sd(stock) # standard
Direct, Indirect and Cumulative Impacts
Demers, Nora Egan
during creation of an Environmental Impact Statement (EIS). Public evaluations and input from independent, variances and non-compliance of permit conditions after the EIS is completed prevents public comment on the natural and human environment from mining in the Peace River Watershed. Environmental Impacts from
Obradovic, Zoran
quality is considered through the use of a spatial data simulator. Performance of linear and non can be generalized to geological, oceanographic and other spatial domains. For a highly non-linear response variable, non-linear models are shown to perform better regardless of unexplained variance
Bayesian Environmetrics: Uncertainty and Sensitivity Analysis
Draper, David
(joint work with Bruno Mendes) Department of Applied Mathematics and Statistics University of California and analysis of variance tools provide sensitivity analysis insight. -- Model uncertainty audit shows, as an energy source, has been employed in the United States and Europe for more than 50 years, and yet
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
A Multiproduct Risk-Averse Newsvendor with Law-Invariant ...
2011-04-14T23:59:59.000Z
Jan 28, 2008 ... To overcome the drawbacks of the mean-variance analysis, the general ... could affect the decision of a risk-averse manager, or when constant .... Interestingly, the report shows that as the demand correlation ... For a review of the literature on risk aversion in capacity investment models and on operational.
Estimation of turbulence level and scale for wind turbine applications
Powell, D.C.
1988-11-01T23:59:59.000Z
A simplified method is presented for estimating onsite turbulence variance within the wind turbine layer for horizontal wind speed. The method is based principally on estimating the probability distribution of wind speed and assigning a variance to each mean wind speed based on surface roughness estimates. The model is not proposed as an alternative to onsite measurement and analysis, but rather as an adjunct to such a program. A revision of the Kaimal neutral u-component spectrum is suggested to apply to the mix of the stabilities occurring during operational winds. Values of integral length scale calculated from data analysis are shown to contradict the length scale model implicit in turbulence power spectra. Also, these calculated values are shown to be extremely sensitive to the length of the time series and the detrending method used. The analysis and modeling are extended to the rotational frame of reference for a horizontal-axis wind turbine by modeling the ratios of harmonic spike variances (1P, 2P, etc.) in the rotational spectrum to the Eulerian turbulence variance. 15 refs., 11 figs., 3 tabs.
Mixing and diapycnal advection in the ocean Louis C. St. Laurent
Cambridge, University of
. Introduction The sun heats the Earth's atmosphere and ocean, driving the winds, evaporation, and rain. These act over global scales to input mechanical energy and variance to the scalar fields of the ocean insight into the mechanisms driving abyssal circulations. Observations of turbulence across the Brazil
Rotella, Jay J.
F&WL 501 - Lab #2 Stochastic Exponential Growth 1. In Chapter 2, you learned of the formula for calculating the geometric mean based on an arithmetic mean and its variance. a. What is that formula? b. What is the name of the technique being used in this formula? c. Use that formula to generate values
Minnesota, University of
Intelligent Storage Among the issues that exist with Exascale storage, we review the issue of utilization, performance and cost. In a traditional hierarchy of storage systems, the response time variances holds true for storage systems. Problem Storage interface today gives an illusion of sequential LBNs
Da Gama Rose, Renaud Wilfred
1964-01-01T23:59:59.000Z
determined (. z analysis of variance as outlined ty Dtee' and Torrie (29), Tr e analys?. of variar;c fo? i m- of wheat grown at College Statior, . ' given in Appendix T. =hie ' ?(eplications were highly sign?fi?an? at Gi 'cv. 1? indic ~ ti:?= thai soil...
KALMAN FILTERING WITH STATISTICAL STATE CONSTRAINTS
Simon, Dan
KALMAN FILTERING WITH STATISTICAL STATE CONSTRAINTS T. L. Chia ControlSoft Inc. 5387 Avion Park with white process and measurement noise, the Kalman ¯lter is known to be the minimum variance linear state estimator. In the case that the random quantities are Gaussian, then the Kalman ¯lter is the minimim
Randomized Quantile Residuals Peter K. Dunn and Gordon K. Smyth
Smyth, Gordon K.
. Keywords: deviance residual; exponential regression; generalized linear model; lo- gistic regression, play a central role in the checking of statistical models. In normal linear regression the residuals are normally distributed and can be standardized to have equal variances. In non-normal regression situations
Analysis on the Inverse problem Statistical analysis of the inverse problem
regression This is a non-linear regression model. Assumption : we have equal variance measurement errors and trigonometric forms. #12;Analysis on the Inverse problem Introduction Non-linear regression This is a non-linear on the Inverse problem Introduction Linear and non-linear regression Examples : Linear model y = 0 + 1x + 2x2 y
STATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL
Rudnyi, Evgenii B.
to apply. The algorithm to maximize a likelihood function in the case of a non-linear physico - the same variances of errors 3.1. One-way classification 3.2. Linear regression 4. Real case (vaporizationSTATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL E.B. Rudnyi Department of Chemistry
Prediction of Seasonal Atlantic Basin Accumulated Cyclone Energy from 1 July PHILIP J. KLOTZBACH
Gray, William
cyclone (NTC) activity (Gray et al. 1994) and accumulated cyclone energy (ACE; Bell et al. 2000) duringPrediction of Seasonal Atlantic Basin Accumulated Cyclone Energy from 1 July PHILIP J. KLOTZBACH-Interim) and explain over 60% of the cross-validated variance in postÂ30 June accumulated cyclone energy over
Quantification of soil organic carbon using mid- and near- DRIFT spectroscopy
Kang, Misun
2004-09-30T23:59:59.000Z
(X) and soil property data (Y) into a new smaller set of latent variables and their scores that best describe all the variance in the data. Oxidizable organic carbon content was measured by a modified Walkley-Black method, and total organic carbon...
ENGI 4421 Probability and Statistics Faculty of Engineering and Applied Science
George, Glyn
ENGI 4421 Probability and Statistics Faculty of Engineering and Applied Science Problem Set 5 Probability distributions, expectation, variance 1. A discrete function of x is defined by ( ) ( ) ( ) ( ) 1 8 3 4 1, 1 0 0 otherwis x p x x e = - + = = (a) Verify that p(x) is a well-defined probability
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
CSEM WP 136 Is Real-Time Pricing Green?: The Environmental
California at Berkeley. University of
CSEM WP 136 Is Real-Time Pricing Green?: The Environmental Impacts of Electricity Demand Variance Stephen P. Holland and Erin T. Mansur August 2004 This paper is part of the Center for the Study of Energy Markets (CSEM) Working Paper Series. CSEM is a program of the University of California Energy Institute
Zhijie Xu
2014-07-01T23:59:59.000Z
We present a new stochastic analysis for steady and transient one-dimensional heat conduction problem based on the homogenization approach. Thermal conductivity is assumed to be a random field K consisting of random variables of a total number N. Both steady and transient solutions T are expressed in terms of the homogenized solution (symbol) and its spatial derivatives (equation), where homogenized solution (symbol) is obtained by solving the homogenized equation with effective thermal conductivity. Both mean and variance of stochastic solutions can be obtained analytically for K field consisting of independent identically distributed (i.i.d) random variables. The mean and variance of T are shown to be dependent only on the mean and variance of these i.i.d variables, not the particular form of probability distribution function of i.i.d variables. Variance of temperature field T can be separated into two contributions: the ensemble contribution (through the homogenized temperature (symbol)); and the configurational contribution (through the random variable Ln(x)Ln(x)). The configurational contribution is shown to be proportional to the local gradient of (symbol). Large uncertainty of T field was found at locations with large gradient of (symbol) due to the significant configurational contributions at these locations. Numerical simulations were implemented based on a direct Monte Carlo method and good agreement is obtained between numerical Monte Carlo results and the proposed stochastic analysis.
DEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS
Hickman, Mark
: This paper examines the market efficiency of oil spot and futures prices by using both mean-variance (MV period 1989-2008, we find no evidence of any MV and SD relationships between oil spot and futures indices of crude oil prices, oil futures have become one of the most popular derivatives to hedge the risk of oil
SEPTEMBER 2003 2071V A N L E E U W E N 2003 American Meteorological Society
van Leeuwen, Peter Jan
SEPTEMBER 2003 2071V A N L E E U W E N 2003 American Meteorological Society A Variance and with a multilayer quasigeostrophic model of the ocean area around South Africa. It is recalled that Kalman after analysis, without extra computations. It is based on ensemble or Monte Carlo integrations
MATHEMATICAL TRIPOS Part III Monday, 31 May, 2010 1:30 pm to 4:30 pm
Weber, Richard
in the minimal variance f for a small change b in available resources is b where is the Lagrange multiplier + x2 6 4 x1 + 4 x2 15 over x1 0 , x2 0 . (c) Later the Company forms an agreement to sell slack
Mine Impact Burial Prediction Experimental (MIBEX)
Chu, Peter C.
School Steven D. Haeger Naval Oceanographic Office #12;Modeling Mine Impact Burial Depth Modeling.5 0.6 Hs ig For MIS O S ite Hsig(m) Yea rday of 2000 #12;Surface Elevation Variance #12;R/V John
Boyer, Edmond
) suggesting that when particle inertia increases, particle acceler- ation variance decreases due to bothAcceleration statistics of solid particles in turbulent channel flow R. Zamansky, I. Vinkovic in near-wall turbulence Phys. Fluids 24, 035110 (2012) Smoothed particle hydrodynamics simulations
Bayesian Regularization and Model Choice in Structured Additive Regression
Gerkmann, Ralf
on the regression coefficients with an inno- vative multiplicative parameter expansion that induces desirable shrinkage properties. This thesis points out a possible reason why previous attempts at extending SSVS with locally varying exponential-gamma distributed variances for the differences of the P-spline coefficients
Cycle time variability for a network under two queueing disciplines
Vasquez Pariente, Marta Irene
1996-01-01T23:59:59.000Z
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...
Precipitable water structure in tropical systems as estimated from TOVS
Hatfield, Eric
1994-01-01T23:59:59.000Z
for approximately 75% of the variance of PW compared to radiosonde data. Large scale features that readily appear in daily and mean PW fields and synoptic scale features found on daily maps coincide with those seen in microwave data. Daily PW values are used...
IceCube Project Monthly Report April 2009 Accomplishments
Saffman, Mark
Performance The project is 90.1% complete versus the plan of 89.9% complete, as measured using earned value). The variance is related to RPSC's schedule performance during the FY08/09 Pole Season. The earned value cost.4%. The contingency continues to be carefully managed to ensure the successful completion of the MREFC project. #12
IceCube Project Monthly Report March 2009 Accomplishments
Saffman, Mark
of 89.7% complete, as measured using earned value techniques. Remaining contingency is $7.3M Season. The earned value cost variance at the end of February 2009 is a favorable $1,559K (was $1,435K and the contingency as a percentage of remaining work is 26.8%. The contingency continues to be carefully managed
IceCube Project Monthly Report February 2009 Accomplishments
Saffman, Mark
The project is 89.3% complete versus the plan of 89.2% complete, as measured using earned value techniques related to RPSC's schedule performance. The earned value cost variance at the end of January 2009.5%. The contingency continues to be carefully managed to ensure the successful completion of the MREFC project. #12
On 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
Spatial and temporal distribution patterns of nectar-inhabiting yeasts: how different floral
Herrera, Carlos M.
investigations have further shown that yeast metabolism alters nectar properties by decreasing its total sugar across six populations located along an altitudinal gradient. Variance partitioning techni- ques were it has become gradually more apparent that yeast metabolism alters the physicochemical properties
Intra--modality Image Registration using Gradients Mutawarra Hussain and Ela Claridge
Claridge, Ela
Intra--modality Image Registration using Gradients Mutawarra Hussain and Ela Claridge School--subject volumetric images has been achieved by using the variance of gradient ratios (VGR) technique. This technique intensity provides functional information on the metabolism of the region to be studied. The temporal
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
Lazarine, Alexis Dawn
2009-05-15T23:59:59.000Z
depth-dose curves. In addition, a density perturbation study was performed to assess the variance in the dose deposition for different mass solids concentrations. To validate the MCNP5 code for this type of application, a benchmark study was performed...
Valuing the greenhouse gas emissions from nuclear power: A critical survey Benjamin K. Sovacool
Laughlin, Robert B.
of the nuclear fuel cycle before explaining the methodology of the survey and exploring the variance of lifecycle emissions occur through plant construction, operation, uranium mining and milling, and plant decommissioning at the University of Chicago, Enrico Fermi inserted about 50 ton of uranium oxide into 400 carefully constructed
PRIMARY RESEARCH PAPER Morphological diversity among fishes in a Great Plains river
faunas using univariate analysis of variance (ANOVA) tests and multivariate ordination and distance- blages were hyperdispersed in morphological space, consistent with the harsh zoogeographical history fish faunal succession is well documented (e.g. Sheldon 1968; Schlosser 1990), but its relation
CPM: A Covariance-preserving Projection Method Ravi Janardan
Ye, Jieping
Introduction Linear Discriminant Analysis (LDA) [4, 7, 8] is a well-known scheme for feature extraction Discriminant Analysis (LDA), Sliced Average Variance Estimator (SAVE), and Heteroscedastic Discriminant Analysis (HDA). This gives us new insights into the na- ture of these different algorithms. We use both
Chen, Zhongxing
significantly different among years as well as among regions (multivariate analysis of variance [MANOVA]; p , 0, University of Southern Mississippi, 1020 Balch Boulevard, Stennis Space Center, Mississippi 39529, USA year- classes (1996Â2000) were sampled from three GOM regions. Solution-based analysis of otolith
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Learning Multivariate Distributions
Geman, Donald
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Learning Multivariate for learning high-dimensional multivariate probability distributions from estimated marginals. The approach- tially well-adapted to small-sample learning, where the bias-variance trade-off makes it necessary
Hierarchical Linear Discriminant Analysis for Beamforming
Park, Haesun
model of h-LDA by relating it to the two-way multivariate analysis of variance (MANOVA), which fits well dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial localization1 Hierarchical Linear Discriminant Analysis for Beamforming Jaegul Choo , Barry L. Drake
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
Johnston, Mark
focus, virtually nothing is known about the mechanisms responsible for the generation of individual, germination fraction over two generations and three sequential seasons, and the genetic correlation structure power to detect additive genetic variance in within-season diversification, it was low
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UNSW
Percival, Don
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UNSW Don Percival Visiting://faculty.washington.edu/dbp Overview of Workshop Â· two sessions, each 1 hour and 45 minutes long I: introduction to wavelets and wavelet transforms II: wavelet-based statistical analysis of time series - wavelet variance (also known
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UQ St Lucia Campus
Percival, Don
Wavelet Methods for Time Series Analysis Half-Day Workshop Presented at UQ St Lucia Campus Don://faculty.washington.edu/dbp Overview of Workshop Â· two sessions, each 1 hour and 45 minutes long I: introduction to wavelets and wavelet transforms II: wavelet-based statistical analysis of time series - wavelet variance (also known
Effect of wettability on scale-up of multiphase flow from core-scale to reservoir fine-grid-scale
Chang, Y.C.; Mani, V.; Mohanty, K.K. [Univ. of Houston, TX (United States)
1997-08-01T23:59:59.000Z
Typical field simulation grid-blocks are internally heterogeneous. The objective of this work is to study how the wettability of the rock affects its scale-up of multiphase flow properties from core-scale to fine-grid reservoir simulation scale ({approximately} 10{prime} x 10{prime} x 5{prime}). Reservoir models need another level of upscaling to coarse-grid simulation scale, which is not addressed here. Heterogeneity is modeled here as a correlated random field parameterized in terms of its variance and two-point variogram. Variogram models of both finite (spherical) and infinite (fractal) correlation length are included as special cases. Local core-scale porosity, permeability, capillary pressure function, relative permeability functions, and initial water saturation are assumed to be correlated. Water injection is simulated and effective flow properties and flow equations are calculated. For strongly water-wet media, capillarity has a stabilizing/homogenizing effect on multiphase flow. For small variance in permeability, and for small correlation length, effective relative permeability can be described by capillary equilibrium models. At higher variance and moderate correlation length, the average flow can be described by a dynamic relative permeability. As the oil wettability increases, the capillary stabilizing effect decreases and the deviation from this average flow increases. For fractal fields with large variance in permeability, effective relative permeability is not adequate in describing the flow.
Effect of gamma radiation on selected functional and physical properties of liquid egg white
Ball, Hershell Ray
1966-01-01T23:59:59.000Z
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ o 14 4 The relative protein composition of egg white (Warner, 1954 ) . . . . . . . . . . . . . . . ~ . . . . . . . . . . . ~ 22 5 Analysis of variance for beating time . . ~. . . . . . . . 30 6 Multiple regression analysis of beating time... . . . . . . . . . . . . . . . . . . . . , . . 42 5 Illustration of textural difference &. . . . . . . . . . . 46 6 Typical electrophoretic patterns obtained . . . . . . 76 C HL PTER I GENERA L CONSIDERATIONS Introduction The use of ionizing radiation in the processing of foods has been...
Investigation of a xenia effect for yield caused by the waxy gene in grain sorghum
Kuhlman, Leslie Charles
2005-11-01T23:59:59.000Z
GenotypexTesterxLocation (g-1)(t-1)(l-1) MS GTL ? 2 e + r? 2 gtl Error (r-1)(gtl-1) MS e ? 2 e Total rgtl-1 22 Results and Discussion Analysis by Environments Halfway, Texas 2003 Analysis of variance for grain yield shows significant...
CAMPUS PLANNING COMMITTEE Minutes of Meeting: May 23, 2013: 2:30 4:30 pm, ASB 120
Victoria, University of
parking spaces - Project budget is $500,000, funded by Parking Services as part of the TDM program project budget - Development variance permit approval required for 1 parking space required underCAMPUS PLANNING COMMITTEE Minutes of Meeting: May 23, 2013: 2:30 4:30 pm, ASB 120 Membership
Eric Heinicke Energy Elements LLC
the variance in performance between NW CTA, the first Ground Source Facility, and other Ground Source schools is to optimize the entering fluid temperature (EFT) to the heat pumps. 20 #12;Pumps Fluid Cooler. (3kW x 332,346^ ft. x $$0.035) ¨ The estimated total savings target is potentially worth $143
In Search of Deterministic Methods for Initializing K-Means and Gaussian Mixture
Dy, Jennifer G.
In Search of Deterministic Methods for Initializing K-Means and Gaussian Mixture Clustering Ting Su of K-means and Gaussian mixture model (GMM) clustering depends on the initial guess of partitions) partitioning and Var-Part (Variance Partitioning). K-means clustering tries to minimize the sum-squared- error
Optimal interval clustering: Application to Bregman clustering and statistical mixture learning
Nielsen, Frank
clustering of n scalar elements into k pairwise disjoint intervals. This case includes 1D Euclidean k-means- hood. Index Terms--Clustering, dynamic programming, k-means, Bregman divergences, statistical mixtures is the celebrated k-means [1] that seeks to minimize the sum of intra-cluster variances by prescribing beforehand
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes Tamara Broderick tab@stat.berkeley.edu
The classical mixture of Gaussians model is related to K-means via small-variance asymptotics- proaches the K-means objective, and the EM algorithm approaches the K-means algo- rithm. Kulis & Jordan. Much of the popularity of clustering revolves around the K-means algorithm; its simplicity and scal
Likas, Aristidis
's personal copy The MinMax k-Means clustering algorithm Grigorios Tzortzis n , Aristidis Likas Department 2014 Available online 6 February 2014 Keywords: Clustering k-Means k-Means initialization Balanced clusters a b s t r a c t Applying k-Means to minimize the sum of the intra-cluster variances is the most
Clustering Educational Digital Library Usage Data: A Comparison of Latent Class Analysis and
Qi, Xiaojun
Clustering Educational Digital Library Usage Data: A Comparison of Latent Class Analysis and K-Means Analysis is superior to K-means on all three comparisons. In particular, LCA is more immune to the variance, the widely used K-means and the model-based Latent Class Analysis, are compared, using usage data from
Quality of Life in Epilepsy: The Role of Psychological Resilience
Day, Kenny
2008-01-01T23:59:59.000Z
of quality of life in those with epilepsy. However, not all studies have shown this effect. Psychosocial factors have recently received more attention and there is some evidence that they may provide a better account of the variance than seizure frequency...
ON THE SELF-TUNING REGULATOR AND A PRIORI ELS CONVERGENCE.
Moore, John Barratt
control theory development following on from the self-tuning-regulator (STR) algorithms of Astran design and some subsequent "direct" adaptive control algorithms is that only the minimum varianceON THE SELF-TUNING REGULATOR AND A PRIORI ELS CONVERGENCE. John B. Moore* and Robert R. Bitmead
Entropy-based Power Attack Houssem Maghrebi, Sylvain Guilley, Jean-Luc Danger, Florent Flament
Entropy-based Power Attack Houssem Maghrebi, Sylvain Guilley, Jean-Luc Danger, Florent Flament D-Order Differential Power Analysis (HO-DPA). For instance, an attack based on a variance analysis clearly shows attacks, called the Entropy-based Power Analysis (EPA). This new attack gives a greatest importance
Entropy-based Power Attack Houssem Maghrebi, Sylvain Guilley, Jean-Luc Danger, Florent Flament
Paris-Sud XI, UniversitÃ© de
Entropy-based Power Attack Houssem Maghrebi, Sylvain Guilley, Jean-Luc Danger, Florent Flament D to Higher-Order Differential Power Analysis (HO-DPA). For instance, an attack based on a variance anal- ysis to information- theoretic HO attacks, called the Entropy-based Power Analysis (EPA). This new attack gives
Michael Barringer Karen A. Thole
Thole, Karen A.
and subsequent flow rates through supply holes in such applications as film-cooling, transpiration cool- ing, and impingement cooling that are supplied by microchannels, pipe-flow systems, or secondary air systems for a cooling supply hole being fed by a range of channel configurations. The manufacturing variances included
Divide-and-Conquer Learning by Anchoring a Conical Hull
Noble, William Stafford
-order moments to parameters in a matrix form up to column scale, the variance of sample moments is still for big data. In addition, recovering a parameter matrix with uncertain column scale might not be feasible , and build a new theory for the identifiability of A. T
Proof: We have the estimate. kS1 [BT;BT]k1 ... Now we can estimate how small a perturbation and the duality gap of a primal- .... the total energy production cost is minimized, ..... Mean-Variance Analysis in Portfolio Choice and Capital. Markets ...
SAMPLE AVERAGE APPROXIMATION METHOD FOR COMPOUND ...
2013-06-30T23:59:59.000Z
Jun 30, 2013 ... bounds from (10) are much sharper than estimates obtained from (11), ..... X a vector of resources allocated at objects i = 1, ..., n to protect them from the .... and cost functions, IE denotes mathematical expectation over ?. ...... [29] H. Markowitz, Mean-Variance Analysis in Portfolio Choice and Capital Markets, ...
Theory and inference for a Markov switching GARCH model
Nesterov, Yurii
2007/55 Theory and inference for a Markov switching GARCH model Luc Bauwens, Arie Preminger and Jeroen V.K. Rombouts #12;CORE DISCUSSION PAPER 2007/55 Theory and inference for a Markov switching GARCH-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process
Generalised Wishart Processes Andrew Gordon Wilson
Kaski, Samuel
its main competitor, mul- tivariate GARCH, even on financial data that especially suits GARCH. 1 variance and zero mean, and GARCH (Bollerslev, 1986), a generalisation of En- gle's ARCH (Engle, 1982 tractability issues and a lack of generality. For example, multivariate GARCH (MGARCH) has a number of free
On the role of internal atmospheric variability in ENSO dynamics
Zhang, Li
2006-10-30T23:59:59.000Z
~no is linked to a boreal spring phenomenon referred to as the Pacific Meridional Model (MM). The MM, character- ized by an anomalous north-south SST gradient and anomalous surface circulation in the northeasterly trade regime with maximum variance in boreal...
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
POSTGRADUATE MONTEREY, CALIFORNIA
of locating kelp in the California coastal waters. The task is currently done using multi-spectral imagery to eliminate all of it in the classification of kelp. The Receiver Operating Characteristic (ROC) curves proved they are a very good detector and discriminator of kelp and water. Using panchromatic and variance
MODELING AND CONTROL OF THERMOSTATICALLY CONTROLLED LOADS
Hiskens, Ian A.
controlled loads (TCLs) has demonstrated that such load following is feasible, but analyt- ical models) is well matched to the role of load following. Re- search into the behavior of TCLs began with the work was then employed in a minimum variance control law to demonstrate the load following capability of a population
A Selective Sampling Approach to Active Feature Selection
Liu, Huan
in a filter model setting. We present a formal- ism of selective sampling based on data variance, and apply deterioration. We design ob- jective evaluation measures of performance, conduct extensive experiments using, text mining, customer relationship management, and market basket anal- ysis [2, 35, 43, 44, 55, 57
Bork-Jensen, Jette; Scheele, Camilla; Christophersen, Daniel V.; Nilsson, Emma; Friedrichsen, Martin; Fernandez-Twinn, Denise S.; Grunnet, Louise Groth; Litman, Thomas; Holmstrøm, Kim; Vind, Birgitte; Højlund, Kurt; Beck-Nielsen, Henning; Wojtaszewski, Jørgen; Ozanne, Susan E.; Pedersen, Bente K.; Poulsen, Pernille; Vaag, Allan
2014-11-19T23:59:59.000Z
, Astrand M, Speed TP (2003) A comparison of normalization 480 methods for high density oligonucleotide array data based on variance and bias. 481 Bioinformatics 19: 185-193 482 22. Edgar R, Domrachev M, Lash AE (2002) Gene Expression Omnibus: NCBI...
Gubicza, Jenõ
Characterization of Microstructure of Severely Deformed Titanium by X-ray Diffraction Profile deformation, X-ray peak profile analysis. Abstract. Nanocrystalline titanium was produced by equal channel of the measured X-ray diffraction peak profiles. The peak profile analysis provided the median and the variance
Does Framingham stroke risk profile predict white-matter changes in late-life depression?
Paris-Sud XI, Université de
profile (FSRP), a well validated risk prediction algorithm, is associated with changes in white FSRP, and non-depressed controls (matched for mean vascular risk) would show minimal co-variance with white-matter changes. Methods: 36 participants with major depression (age 71.8±7.7 years, mean FSRP 10
Comparison of Aermod and ISCST3 Models for Particulate Emissions from Ground Level Sources
Botlaguduru, Venkata Sai V.
2010-07-14T23:59:59.000Z
setup parameters .................................................................................. 32 Figure 6. Cattle feedlot with a TEOM sampler .............................................................. 35 Figure 7. Wind rose for feedlot E... when solar radiation > 800 W/m2 .................................................................... 54 Figure 20. Variance in AERMOD and ISCST3 concentrations as a function of wind speed...
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
Lee, In Heok
2006-04-12T23:59:59.000Z
accounted for only 3% of the variance and the three beta weights for the gender, student classification, and GPA variables were not statistically significantly related to the SDLRS. However, scores for SDLRS (R2= .34, adjusted R2 = .30, Â¨R2 = .31, p =.00...
Performance Analysis of Isolated Intersection Traffic Signals
Yin, Kai
2013-08-01T23:59:59.000Z
This dissertation analyzes two unsolved problems to fulfill the gap in the literature: (1). What is the vehicle delay and intersection capacity considering left-turn traffic at a pre-timed signal? (2). What are the mean and variance of delay...
letters to nature NATURE |VOL 415 |24 JANUARY 2002 |www.nature.com 429
´ band length in foregut ´ (1/2 foregut diameter)2 . Per capita consumption was compared between-test because variances could not be transformed to satisfy parametric assumptions. Resource consumption After foreguts are essentially cylindrical, the consumption of SPM by each larva was calculated as mm3 SPM by p
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
Department and Graduate Institute of Finance College of Management
Lyuu, Yuh-Dauh
Variance Reduction Methods for Monte Carlo Valuation of American Options AdviseeFung-Ting Chen 967 July reduction method proposed by Rasmussen in the valuation of two-, three- or five max-call options and we find method can be used to improve the efficiency of a Monte Carlo simulation. In this thesis we apply the two
Robust Methods for Engineering Design Optimization
Dennis, Brian
Random Energy Lost Generation Hybrid Example · Optimization of turbine cascade (2-D) with hybrid GA for optimized blade Hybrid Algorithms · Use a combination of algorithms plus a switching strategy for searching #12;7 Flowchart of automatic switching among modules in a hybrid optimizer Design Variance 0 DFP GA NM
John, Sajeev
in a pseudophotonic band gap PBG to an applied laser field. It is shown that in the case when the variance of resonant reactive ion etching techniques. The relative dif- ficulty in drilling to a depth of more than a few unit
Jump-Di usion Stock Return Models in Finance: Stochastic Process Density with Uniform-Jump Amplitude
Hanson, Floyd B.
-time, geometric, jump-di usion stochastic di erential equation (SDE), dS(t) = S(t) ddt + ddZ(t) + J(Q)dP (t)] S(0 and are constants. The di erential di usion process with drift ddt + ddZ(t) is has mean ddt and ddt variance
Ocean Math OC 569B Fall 2013 P.B. Rhines Tues. 26Nov 2013 with minor revisions 29Nov
Ocean Math OC 569B Fall 2013 P.B. Rhines Tues. 26Nov 2013 with minor revisions 29Nov A flow chart(x), | f (x)|2 - dx = | F(k)|2 - dk E(k) - dk (which might be the energy for some choices of f) has contributions from the different Fourier components, squared: this is the variance- (or energy) spectrum, E
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
IIE Transactions (2007) 39, 317330 Copyright C "IIE"
process to be monitored, a Statistical Process Control (SPC) chart is used to detect any prac- tically, the mean, the variance or a quantile of the marginal distribution of the process. An SPC chart is designed is (incor- rectly) raised. Given several alternative SPC charts whose control limits are determined
IceCube Project Monthly Report -September 2010 Accomplishments
Saffman, Mark
a successful internal readiness review on September 16th and a support review on the 29th with Raytheon Polar at the end of August 2010 was $1,961k. This favorable cost variance is primarily due to Raytheon and NY Air
Donor-vacancy pairs in irradiated n-Ge: A searching look at the problem
Emtsev, Vadim; Oganesyan, Gagik [IoffePhysicotechnical Institute, Russian Academy of Sciences, Politekhnicheskaya ulitsa 26, 194021 St. Petersburg (Russian Federation)
2014-02-21T23:59:59.000Z
The present situation concerning the identification of vacancy-donor pairs in irradiated n-Ge is discussed. The challenging points are the energy states of these defects deduced from DLTS spectra. Hall effect data seem to be at variance with some important conclusions drawn from DLTS measurements. Critical points of the radiation-produced defect modeling in n-Ge are highlighted.
Ojo, Temitope O.
2006-08-16T23:59:59.000Z
-correlation function, R? of the velocity time-series. Typically, the diffusion coefficients are measured through tracer experiments as determined by the time rate of change of the variance of a growing patch (K = Â½ d?2 /dt), which introduces the concept...
ensl-00167302,version1-18Aug2007 Measurement of particle and bubble accelerations in turbulence
Paris-Sud XI, Université de
ensl-00167302,version1-18Aug2007 Measurement of particle and bubble accelerations in turbulence R motion are resolved and the particle acceleration is measured. For neutrally buoyant par- ticles, our 1.4) and to air bubbles. We observe that the acceleration variance strongly depends on the particle
Improving blockbased disparity estimation by considering the nonuniform distribution of the
transformations. For this purpose, first the error variance distribution inside the image block is analytically) process with given power spectral density. By relating the estimation re sults of the transformation of the estimation error inside an im age block that is mapped into another image plane using projective 2D
Lin, Danyu
2006-01-01T23:59:59.000Z
-disequilibrium tests (QTDT) based on the variance-components model is the most flexible and most powerful. This method transformation is unknown, and incorrect transformations may compromise the type I error and power. We propose components; linkage disequilibrium; transformation; semiparametric models; QTDT; FBAT; PDT Contract grant
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 0099-2240/00/$04.00 0
Peever, Tobin
transmission of hypoviruses into conidia, and (iv) conidial ger- mination. Two-way analysis of variance (ANOVA and canker area but not for conidial germination or transmission. One-way ANOVA among hypoviruses (within. 11 Copyright © 2000, American Society for Microbiology. All Rights Reserved. Variation in Tolerance
PLL On-Chip Jitter Measurement: Analysis and Design Socrates D. Vamvakos1
Nikolic, Borivoje
PLL On-Chip Jitter Measurement: Analysis and Design Socrates D. Vamvakos1 , Vladimir Stojanovi 2, CA,2 MIT, Cambridge, MA,3 Rambus Inc., Los Altos, CA Abstract Analysis of on-chip jitter measurements based on the dead-zone method reveals potentially large errors in the jitter variance estimate, when
1 Random Jitter Extraction Technique in a Multi-Gigahertz Signal Chee-Kian Ong, Dongwoo Hong, Kwang technique for estimating the standard deviation of a Gaussian random jitter component in a multi that this extraction method can accurately estimate the random jitter variance in a multi-gigahertz signal even
QUEEN'S DUPONT BACK PAIN STUDY Calibration of a Magnetic Tracking Device Using Locally Linear Fits
Murdoch, Duncan
point i, p is a power variable used to compensate for distance related measurement variance with a grid spacing of 40cm. 1440 data points were collected at 60 positions. For each point, the true position vector x=(x,y,z) and the true orientation At were known, and the observed position vector xo
Marston, Richard A.
Oklahoma, USA Daniel C. Dauwalter & Dale K. Splinter & William L. Fisher & Richard A. Marston Received: 8 and stream habitat, influenced fish species composition (presenceabsence) in eastern Oklahoma, USA relative ecoregions in eastern Oklahoma. Partial canonical correspondence analyses (pCCAs) and variance partitioning
Ecological Modelling 229 (2012) 3749 Contents lists available at ScienceDirect
An, Li
2012-01-01T23:59:59.000Z
challenges we are facing on the way to environmental sustainability. Emerging as a cutting edge in modeling appreciation for potential human environmental impacts. Other significant factors predicting sensitivity, Generalized linear model; VIF, Variance inflation factor; GTGP, Grain-to-Green Program; NFCP, Natural Forest
Kan, Jimmy Hung-Kei
1958-01-01T23:59:59.000Z
by the Regression M e t h o d..... 66 Diallel Mating ............................................... . 67 Test of Significance of Interaction Mean Square ........ ES Estimation of Non-Additive Gene Effects ................. 7^ (a) The First Method... .................... 3^ 6. The portions of genetic variance contained in the different components ....................................... 37 7* A comparison of reproductive efficiency of the four mating types ................................................ ^0 8...
Amand Faessler; G. L. Fogli; E. Lisi; V. Rodin; A. M. Rotunno; F. Simkovic
2009-03-06T23:59:59.000Z
The variances and covariances associated to the nuclear matrix elements (NME) of neutrinoless double beta decay are estimated within the quasiparticle random phase approximation (QRPA). It is shown that correlated NME uncertainties play an important role in the comparison of neutrinoless double beta decay rates for different nuclei, and that they are degenerate with the uncertainty in the reconstructed Majorana neutrino mass.
Effect of gamma radiation on selected functional and physical properties of liquid egg white
Ball, Hershell Ray
1966-01-01T23:59:59.000Z
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ o 14 4 The relative protein composition of egg white (Warner, 1954 ) . . . . . . . . . . . . . . . ~ . . . . . . . . . . . ~ 22 5 Analysis of variance for beating time . . ~. . . . . . . . 30 6 Multiple regression analysis of beating time... . . . . . . . . . . . . . . . . . . . . , . . 42 5 Illustration of textural difference &. . . . . . . . . . . 46 6 Typical electrophoretic patterns obtained . . . . . . 76 C HL PTER I GENERA L CONSIDERATIONS Introduction The use of ionizing radiation in the processing of foods has been...
Barloon, Jessica Lynn
2001-01-01T23:59:59.000Z
(CRP, SAA) were analyzed on all subjects at the end of the initial run-in period and at the end of the diet period by repeated measures analysis of variance (SAS, ProcGLM) with significance set at p<0.05. There were no significant differences between...
Strain by dietary lysine interaction effects in egg production stocks of chickens
Bonds, Ira Stanley
1974-01-01T23:59:59.000Z
birds were adjusted to the canaan contxol at the end of the produotion oycle 1n an attenpt to a~iso the data, A factorial analysis of variance (Snedecor and Cochran, l967) was used to analyne the adult pexfornance data. Souroes of variaticn far nein...
Digitally-Assisted Mixed-Signal Wideband Compressive Sensing
Yu, Zhuizhuan
2012-07-16T23:59:59.000Z
knowledge, this prototype is the first reported integrated chip for wideband mixed-signal compressive sensing. The proposed prototype achieves 7 bits ENOB and 3 GS/s equivalent sampling rate in simulation assuming a 0.5 ps state-of-art jitter variance, whose...
LeRoy Sievers, Agency Legal Counsel Nebraska Department of Natural Resources
Nebraska-Lincoln, University of
to NRD - Variances #12;Nebraska Water Law #12;LB 962 and Integrated Management Plans Nebraska Water Law #12;LB 962 and Integrated Management Plans Nebraska Water Law Natural Resources Districts worki Ground Reservoir - Location of use - Contract with the owners of the reservoir Intentionally Stored
Low-energy behavior of $E2$ strength functions
R. Schwengner
2014-11-04T23:59:59.000Z
Electric quadrupole strength functions have been deduced from averages of a large number of $E2$ transition strengths calculated within the shell model for the nuclides $^{94}$Mo and $^{95}$Mo. These strength functions are at variance with phenomenological approximations as provided by the Reference Input Parameter Library RIPL-3 for calculations of reaction rates on the basis of the statistical model.
Lynch, Michael
Estimation of Nucleotide Diversity, Disequilibrium Coefficients, and Mutation Rates from High for the binomial sampling of parental alleles at individual nucleotide sites and to eliminate bias from various the average nucleotide heterozygosity and its variance among sites, the pattern of decomposition of linkage
OVERVIEW OF EXTREME VALUE ANALYSIS UNDER CLIMATE CHANGE
Katz, Richard
to handle this situation (e. g., "extRemes" package in open source statistical programming language R -- Statistical theory of extreme values Well established long ago -- Applications to climatology and hydrology (Fréchet type) "Heavy" upper tail with infinite rth-order moment if r 1/ (e. g., infinite variance if 1
Evaluation of Tweedie exponential dispersion model densities by Fourier inversion
Smyth, Gordon K.
and Computing University of Southern Queensland Toowoomba Queensland 4350 Australia Gordon K. Smyth Bioinformatics Division Walter and Eliza Hall Institute of Medical Research Melbourne, Vic 3050, Australia August with power variance functions V (µ) = µp for p (0, 1). These distri- butions do not generally have density
Decadal Prediction in the Pacific Region GERALD A. MEEHL AND AIXUE HU
Meehl, Gerald A.
Decadal Prediction in the Pacific Region GERALD A. MEEHL AND AIXUE HU National Center ensemble is used to address decadal prediction of Pacific SSTs. All model data are low-pass filtered, representing nearly 80% of the total variance, are used as the basis for early twenty-first-century predictions
Melanin-binding radiopharmaceuticals
Packer, S; Fairchild, R G; Watts, K P; Greenberg, D; Hannon, S J
1980-01-01T23:59:59.000Z
The scope of this paper is limited to an analysis of the factors that are important to the relationship of radiopharmaceuticals to melanin. While the authors do not attempt to deal with differences between melanin-binding vs. melanoma-binding, a notable variance is assumed. (PSB)
Performance Analysis of Isolated Intersection Traffic Signals
Yin, Kai
2013-08-01T23:59:59.000Z
This dissertation analyzes two unsolved problems to fulfill the gap in the literature: (1). What is the vehicle delay and intersection capacity considering left-turn traffic at a pre-timed signal? (2). What are the mean and variance of delay...
MESOSCALE AVERAGING OF NUCLEATION AND GROWTH MODELS
Burger, Martin
MESOSCALE AVERAGING OF NUCLEATION AND GROWTH MODELS MARTIN BURGER , VINCENZO CAPASSO , AND LIVIO-Kolmogorov relations for the degree of crystallinity. By relating the computation of expected values to mesoscale averaging, we obtain a suitable description of the process at the mesoscale. We show how the variance
Scherrer, Bruno
Policy Iteration / Optimistic Policy Iteration Least-Squares Policy Iteration Experiments Least Squares Policy Iteration Bias-Variance Trade-o in Control Problems Christophe ThiÃ©ry and Bruno Scherrer/27 #12; Policy Iteration / Optimistic Policy Iteration Least-Squares Policy Iteration Experiments Markov
Mid-American Review of Sociology, Volume 3, Number 1 (SPRING, 1978): Notes and Comments
Jacobsen, Christian Wells
1978-04-01T23:59:59.000Z
: John Wiley and Sons, Inc. Kim, J ae-On and Frank Kohout 1975a "Special Topics in General Linear Models." Pp. 368-97 in Norman Nie et ale (eds.), SPSS, Second Edition. New York: McGraw-Hill Book Co. 1975b "Analyis of Variance and Covariance: Subprograms...
Boschi, Lapo
Can the Earth's harmonic spectrum be derived directly from1 the stochastic inversion of global globe, to a statistical measure of the Earth's complexity: its spherical-harmonic spectrum.18 We follow averaged variance and harmonic spectrum; one can then determine the20 latter from a measurement
Hogan, Robin
Terrestre et PlanÂ´etaire, VÂ´elizy, France University of Reading, Reading, United Kingdom 1. INTRODUCTION. The variance 1 #12;v 2 of the mean wind is an indicator of the kinetic energy in turbulent scales4A.5 DERIVING TURBULENT KINETIC ENERGY DISSIPATION RATE WITHIN CLOUDS USING GROUND BASED 94 GHZ
ccsd-00002179,version1-7Jul2004 A Value-At-Risk Approach for Robust
Paris-Sud XI, Université de
of the variance of simulated cost - up to 38% of reduction for a comparable average cost if the worst caseccsd-00002179,version1-7Jul2004 A Value-At-Risk Approach for Robust Management of Electricity Power and Space Decomposition, Ro- bust Counterpart, Electricity Power Management. Abstract In this paper, we
Resource dimensioning through buffer sampling
Boucherie, Richard J.
, theoretical dimensioning formulae that estimate the required capacity C as a function of the input traffic the buffer content, estimates the buffer content distribution, and `inverts' this to the variance. We of capacity that should be added, advanced modeling and performance techniques are required. These predictions
Calibration of Stochastic Convenience Yield Models For Crude Oil Using the Kalman Filter
Vuik, Kees
Calibration of Stochastic Convenience Yield Models For Crude Oil Using the Kalman Filter A . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2 Stochastic convenience yield model following an Ornstein-Uhlenbeck process 7 2.1 Mean and variance of the Ornstein-Uhlenbeck process . . . . . . . . . . . . . . . . . . . . 7 2.2 Market price
Variation in serum alkaline phosphatase activity in cattle
Fletcher, Jesse Lane
1956-01-01T23:59:59.000Z
of variance of age-adjusted phosphatase in the dairy calves.............................................41 21. Classification of the Holstein cows on the basis of condi? tion of gestation and lactation........................... 42 22. Classification... of the Jersey cows on the basis of condition of gestation and lactation.................... ...........42 23. Estimates of heritability of phosphatase activity in Brahman cattle......................................... . 47 24. Estimates of heritability...
EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science
Eindhoven, Technische Universiteit
the parameters that contribute most to the variance are detected. Both intrusive and non-intrusive methods based types of numerical techniques to compute the sensitivity coefficients S1, . . . , Sq : i) non-intrusive function H of the deterministic system (1) for each node of the quadrature scheme. ii) intrusive methods
Entropy Shows that Global Warming Should Cause Increased Variability in the Weather
John Michael Williams
2001-02-21T23:59:59.000Z
Elementary physical reasoning seems to leave it inevitable that global warming would increase the variability of the weather. The first two terms in an approximation to the global entropy are used to show that global warming has increased the free energy available to drive the weather, and that the variance of the weather should increase correspondingly.
Derivation of Extended Kalman Filtering and Smoothing Equations Byron M. Yu
Yu, Byron
dynamical systems can be performed via local linearization of the nonlinearities. This Extended Kalman Introduction We consider nonlinear dynamical systems of the following form: xt+1 = ft(xt) + wt (1) yt = gt-distributed with mean 1 and variance V1. As in [3], we assume that the parameters of the nonlinear dynamical system
Statistical Energy Analysis 2 Long. 3 Long.
Berlin,Technische Universität
Reciprocity Considerations Multi-modal Systems Multi-modal Coupling Coupling Lossfactor Variance. B.A.T. Petersson #12;6 · Built-up structures Heat pump · Structure-borne waves · Liquid · Single-degree-of-freedom-system, SDOF M RK=1/C x © Prof. B.A.T. Petersson SEA · Forced vibration M RK x F
STATISTICS 212-502 Spring 2014
, accident or circumstances beyond your control, notify me as soon as possible so that a make-up exam can principles of regression analysis, experimental design, analysis of variance, categorical data analysis variability. Course Outline Topic Chapters No. of Lectures Model Building/ 12, 13 15 Regression Analysis First
Direct numerical simulation and subgrid analysis of a transitional droplet laden mixing layer
Miller, Richard S.
106 grid points are used to discretize the Eulerian gas phase equations and up to 5.7 106 initially intensities when a filter width-dependent model constant is used. The subgrid fluctuation variances acting. For these flows, large numbers ( 105 106 ) of individual dispersed particles are tracked in the Lagrangian
RESEARCH REPORT 987-9 ASPHALT OVERLAY DESIGN METHODS FOR RIGID
Texas at Austin, University of
by using a fractional factorial design. An analysis of variance (ANOVA) was performed to identifyRESEARCH REPORT 987-9 ASPHALT OVERLAY DESIGN METHODS FOR RIGID PAVEMENTS CONSIDERING RUTTING's Catalog No. 5. Report Date October 1998 4. Title and Subtitle ASPHALT OVERLAY DESIGN METHODS FOR RIGID
Common Component Analysis for Multiple Covariance Matrices Technical Report
Banerjee, Arindam
real stock market datasets, where major financial events can be visualized in low dimensions. 1 preserving as much of the "energy" or variance as possible. The problem can be solved by an eigenvalue subspaces. Examples include stock market data where financial shocks and volatility arise from different
Common Component Analysis for Multiple Covariance Matrices Huahua Wang
Boley, Daniel
as on two real stock market datasets, where major financial events can be visualized in low dimensions while preserving as much of the "energy" or variance as possible. The problem can be solved if the covariance matrices span different subspaces. Exam- ples include stock market data where financial shocks
Nonparametric Methods for Point Processes and Geostatistical Data
Kolodziej, Elizabeth Young
2011-10-21T23:59:59.000Z
and beyond. To God be the glory! vi TABLE OF CONTENTS CHAPTER Page I INTRODUCTION : : : : : : : : : : : : : : : : : : : : : : : : : : 1 A. Spatio-temporal Processes . . . . . . . . . . . . . . . . . . 2 B. Spatial Point Processes... . . . . . . . . . . . . . . . . . . . . . . . . . 19 E. Parameter Estimation . . . . . . . . . . . . . . . . . . . . 21 1. Parameter Estimation: Logistic Model . . . . . . . . . 22 2. Parameter Estimation: Poisson Model . . . . . . . . . 23 F. Variance Estimation...
Candan, Cagatay
1348 IEEE COMMUNICATIONS LETTERS, VOL. 17, NO. 7, JULY 2013 An Upper Bound on the Capacity Loss Due, IEEE Abstract--A remarkably simple upper bound on the capacity loss due to imprecise channel state, (Capacity Loss) log(1 + var(h - h)SNR) where var(h - h) represents the variance of channel estimation error
Dimensionality and noise in energy selective x-ray imaging
Alvarez, Robert E. [Aprend Technology, Mountain View, California 94043 (United States)] [Aprend Technology, Mountain View, California 94043 (United States)
2013-11-15T23:59:59.000Z
Purpose: To develop and test a method to quantify the effect of dimensionality on the noise in energy selective x-ray imaging.Methods: The Cramèr-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.
Yao, Shuang
2014-07-30T23:59:59.000Z
(x) = h 2B(x) + ? V (x) nh3 Zn + op(h 2 + (nh3)?1/2), (2.4) where B(x) = ( µ4?µ22 2µ2 ) g??(x)f ?(x) f(x) + µ4g???(x) 6µ2 , V (x) = ?2?2(x)/[µ22f(x)], Zn is a mean zero, unit variance random variable (Zn d? N(0, 1) under some standard regularity conditions... of ?ˆLL(x), and choose the smoothing parameter h to minimize a weighted version of the integrated (leading) squared bias and variance of ?ˆLL(x). This approach requires one to obtain initial estimates of g(x) and f(x) and their derivative functions up...
Church, J; Slaughter, D; Norman, E; Asztalos, S; Biltoft, P
2007-02-07T23:59:59.000Z
Error rates in a cargo screening system such as the Nuclear Car Wash [1-7] depend on the standard deviation of the background radiation count rate. Because the Nuclear Car Wash is an active interrogation technique, the radiation signal for fissile material must be detected above a background count rate consisting of cosmic, ambient, and neutron-activated radiations. It was suggested previously [1,6] that the Corresponding negative repercussions for the sensitivity of the system were shown. Therefore, to assure the most accurate estimation of the variation, experiments have been performed to quantify components of the actual variance in the background count rate, including variations in generator power, irradiation time, and container contents. The background variance is determined by these experiments to be a factor of 2 smaller than values assumed in previous analyses, resulting in substantially improved projections of system performance for the Nuclear Car Wash.
CMB multipole measurements in the presence of foregrounds
Angelica de Oliveira-Costa; Max Tegmark
2006-05-10T23:59:59.000Z
Most analysis of Cosmic Microwave Background spherical harmonic coefficients a_lm has focused on estimating the power spectrum C_l= rather than the coefficients themselves. We present a minimum-variance method for measuring a_lm given anisotropic noise, incomplete sky coverage and foreground contamination, and apply it to the WMAP data. Our method is shown to constitute lossless data compression in the sense that the widely used quadratic estimators of the power spectrum C_l can be computed directly from our a_lm-estimators. As the Galactic cut is increased, the error bars Delta-a_lm on low multipoles go from being dominated by foregrounds to being dominated by sample variance from other multipoles, with the intervening minimum defining the optimal cut. Applying our method to the WMAP quadrupole and octopole, we find that their previously reported "axis of evil" alignment appears to be rather robust to Galactic cut and foreground contamination.
A simple method to estimate interwell autocorrelation
Pizarro, J.O.S.; Lake, L.W. [Univ. of Texas, Austin, TX (United States)
1997-08-01T23:59:59.000Z
The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.
Not Available
1993-01-01T23:59:59.000Z
The overall project cost and schedule. The combustion turbine commercial operation date is scheduled for 7/1/95 with the combined cycle commercial operation date of 7/1/96. A two year demonstration period will commence after IGCC commercial operation. Details of costs on a total project and DOE Envelope basis along with detailed schedule components were covered. Major cost variances to date were discussed. The major variances this year relate to contracts which were anticipated to be finalized mid 1992 but which are not executed. These include GEESI, the ASU and key vessels. Some of these contracts are almost in place and others are scheduled for the first quarter 1993. Numerous project specifications, process flow diagrams, piping and instrument diagrams and other drawings have been reviewed and approved as part of the preliminary engineering process.
Einstein's legacy in galaxy surveys
Stefano Camera; Roy Maartens; Mario G. Santos
2015-03-11T23:59:59.000Z
Non-Gaussianity in the primordial fluctuations that seeded structure formation produces a signal in the galaxy power spectrum on very large scales. This signal contains vital information about the primordial Universe, but it is very challenging to extract, because of cosmic variance and large-scale systematics - especially after the Planck experiment has already ruled out a large amplitude for the signal. Cosmic variance and experimental systematics can be alleviated by the multi-tracer method. Here we address another systematic - introduced by not using the correct relativistic analysis of the power spectrum on very large scales. In order to reduce the errors on fNL, we need to include measurements on the largest possible scales. Failure to include the relativistic effects on these scales can introduce significant bias in the best-fit value of fNL from future galaxy surveys.
Statistical Approach to Quantum Chaotic Ratchets
Itzhack Dana
2010-03-15T23:59:59.000Z
The quantum ratchet effect in fully chaotic systems is approached by studying, for the first time, \\emph{statistical} properties of the ratchet current over well-defined sets of initial states. Natural initial states in a semiclassical regime are those that are \\emph{phase-space uniform} with the \\emph{maximal possible} resolution of one Planck cell. General arguments in this regime, for quantum-resonance values of a scaled Planck constant $\\hbar$, predict that the distribution of the current over all such states is a zero-mean Gaussian with variance $\\sim D\\hbar^{2}/(2\\pi^{2})$, where $D$ is the chaotic-diffusion coefficient. This prediction is well supported by extensive numerical evidence. The average strength of the effect, measured by the variance above, is \\emph{significantly larger} than that for the usual momentum states and other states. Such strong effects should be experimentally observable.
Statistical Approach to Quantum Chaotic Ratchets
Dana, Itzhack
2010-01-01T23:59:59.000Z
The quantum ratchet effect in fully chaotic systems is approached by studying, for the first time, \\emph{statistical} properties of the ratchet current over well-defined sets of initial states. Natural initial states in a semiclassical regime are those that are \\emph{phase-space uniform} with the \\emph{maximal possible} resolution of one Planck cell. General arguments in this regime, for quantum-resonance values of a scaled Planck constant $\\hbar$, predict that the distribution of the current over all such states is a zero-mean Gaussian with variance $\\sim D\\hbar^{2}/(2\\pi^{2})$, where $D$ is the chaotic-diffusion coefficient. This prediction is well supported by extensive numerical evidence. The average strength of the effect, measured by the variance above, is \\emph{significantly larger} than that for the usual momentum states and other states. Such strong effects should be experimentally observable.