Results 11 to 20 of about 296,140 (309)
Covariance-Based Uncertainty Analysis of Reference Equations of State [PDF]
, 2020 This work presents a detailed methodology for uncertainty analysis applied to a reference equation of states (EOSs) based on Helmholtz energy. With increasing interest in uncertainties of thermal process models, it is important to quantify the property ...
Shengwei Wang (5689142) +5 more
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Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices [PDF]
, 2020 Modeling correlation (and covariance) matrices can be challenging due to the positive-definiteness constraint and potential high-dimensionality. Our approach is to decompose the covariance matrix into the correlation and variance matrices and propose a ...
Shahbaba, Babak +7 more
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Covariates in linkage analysis [PDF]
Genetic Epidemiology, 1999 AbstractWe apply a novel technique to detect significant covariates in linkage analysis using a logistic regression approach. An overall test of linkage is first performed to determine whether there is significant perturbation from the expected 50% sharing under the hypothesis of no linkage; if the overall test is significant, the importance of the ...
J P, Rice +6 more
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BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB
Frontiers in Human Neuroscience, 2021 Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders.
Qiang Xu +18 more
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LATOR covariance analysis [PDF]
Classical and Quantum Gravity, 2005 We present results from a covariance study for the proposed Laser Astrometric Test of Relativity (LATOR) mission. This mission would send two laser-transmitter spacecraft behind the Sun and measure the relative gravitational light bending of their signals using a hundred-meter-baseline optical interferometer to be constructed on the International Space
Plowman, Joseph E., Hellings, Ronald W.
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Wavelet analysis of covariance with application to atmospheric time series [PDF]
, 2000 Multiscale analysis of univariate time series has appeared in the literature at an ever increasing rate. Here we introduce the multiscale analysis of covariance between two time series using the discrete wavelet transform.
Whitcher, Brandon +2 more
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Analysis of covariance and standardization as instances of prediction [PDF]
, 1982 In this paper, prediction provides the basis for unifying the procedures of covariance adjustment and standardization. Analysis of covariance is a method of forming predictions from a linear model; it is used when qualitative effects are to be studied ...
Nelder, J. A., Lane, P. W.
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Robustness of analysis of covariance (ancova) under the distributions assumptions and variance homogeneity [PDF]
Eurasian Journal of Veterinary Sciences, 2020 Aim: As in all parametric methods, the ANCOVA method assumes that normal distributions of errors, homogeneity of variances, and error terms are independent of each other. However, unusual distributions in practice are more common than normal distribution.
Can Ateş +3 more
doaj
Covariance matrix estimation with heterogeneous samples [PDF]
, 2008 We consider the problem of estimating the covariance matrix Mp of an observation vector, using heterogeneous training samples, i.e., samples whose covariance matrices are not exactly Mp.
Bidon, Stéphanie +2 more
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Implementing Quantitative Literacy at Southwestern Community College, North Carolina
Numeracy, 2015 There is a time when articulation agreements between universities and community colleges come to an end. When this happened in North Carolina, there was great hope that not only would the mathematics classes that were offered in the North Carolina ...
Vicki Todd, John Wagaman
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