Results 11 to 20 of about 166,859,727 (259)
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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Sampled-data filtering with error covariance assignment [PDF]
, 2001 Copyright [2001] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Huang, B, Wang, Z, Huo, P
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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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Covariance-Based Uncertainty Analysis of Reference Equations of State
, 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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Application of student's t-test, analysis of variance, and covariance
Annals of Cardiac Anaesthesia, 2019 Student's t test (t test), analysis of variance (ANOVA), and analysis of covariance (ANCOVA) are statistical methods used in the testing of hypothesis for comparison of means between the groups.
Prabhaker Mishra +4 more
doaj +1 more source
Analysis of the covariance matrix in FWI through density of covariance maps
CT&F Ciencia, Tecnología & Futuro, 2020 Full waveform inversion (FWI) is a tool for the inversion of seismic data. There are several sources of uncertainty in the results provided by FWI. The quantification of such uncertainties has been studied through the resolution matrix (Res), which rests
Anyeres Neider Jimenez +3 more
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IPCO: Inference of Pathways from Co-variance analysis
BMC Bioinformatics, 2020 Background Key aspects of microbiome research are the accurate identification of taxa and the profiling of their functionality. Amplicon profiling based on the 16S ribosomal DNA sequence is a ubiquitous technique to identify and profile the abundance of ...
Mrinmoy Das +2 more
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Psychiatry and Behavioral Sciences, 2017 Analysis of Covariance (ANCOVA) is a statistical method which is an extension of ANOVA that provides a way of statistically controlling the linear effect of variables one does not want to examine in a study.
Selim Kılıc
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Nonparametric estimation of covariance functions by model selection [PDF]
, 2009 We propose a model selection approach for covariance estimation of a stochastic process. Under very general assumptions, observing i.i.d replications of the process at fixed observation points, we construct an estimator of the covariance function by ...
Muniz Alvarez, Lilian +9 more
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Promoting education management new models application in teaching science [PDF]
فصلنامه نوآوریهای آموزشی, 2016 The purpose of this study was to survey the effect of teaching science using Education Management Model on 3th grade guidance school Baharestān city students academic achievement in knowledge, skill and attitude areas.
Mohammadrezā Behrangi +2 more
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