Results 11 to 20 of about 620,297 (279)
Power Estimation in Multivariate Analysis of Variance [PDF]
Tutorials in Quantitative Methods for Psychology, 2007 Power is often overlooked in designing multivariate studies for the simple reason that it is believed to be too complicated. In this paper, it is shown that power estimation in multivariate analysis of variance (MANOVA) can be approximated using a F ...
Jean François Allaire, Sylvain Chartier
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Estimating within‐study covariances in multivariate meta‐analysis with multiple outcomes [PDF]
Statistics in Medicine, 2012 Multivariate meta‐analysis allows the joint synthesis of effect estimates based on multiple outcomes from multiple studies, accounting for the potential correlations among them. However, standard methods for multivariate meta‐analysis for multiple outcomes are restricted to problems where the within‐study correlation is known or where individual ...
Wei, Yinghui, Higgins, Julian Pt
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Estimating combining ability in popcorn lines using multivariate analysis [PDF]
Chilean journal of agricultural research, 2014 Aiming to estimate the combining ability in tropical and temperate popcorn (Zea mays L. var. everta Sturt.) lines using multivariate analysis, ten popcorn lines were crossed in a complete diallel without reciprocals and the lines and hybrids were tested in two randomized complete block experiments with three replicates.
Azeredo Gonçalves, Leandro Simôes +6 more
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Model and distribution uncertainty in multivariate GARCH estimation: A Monte Carlo analysis [PDF]
Computational Statistics & Data Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
ROSSI, EDUARDO, Spazzini Filippo
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Latent Class Regression Utilizing Fuzzy Clusterwise Generalized Structured Component Analysis
Mathematics, 2020 Latent class analysis (LCA) has been applied in many research areas to disentangle the heterogeneity of a population. Despite its popularity, its estimation method is limited to maximum likelihood estimation (MLE), which requires large samples to satisfy
Seohee Park, Seongeun Kim, Ji Hoon Ryoo
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PLoS ONE, 2018 To understand information representation in human brain activity, it is important to investigate its fine spatial patterns at high temporal resolution. One possible approach is to use source estimation of magnetoencephalography (MEG) signals.
Masashi Sato +3 more
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IEEE Access, 2020 The estimation of the large and high-dimensional covariance matrix and precision matrix is a fundamental problem in modern multivariate analysis. It has been widely applied in economics, finance, biology, social networks and health sciences. However, the
Xin Yuan +3 more
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MODIFIED METHOD OF CONSTRUCTING A MULTIVARIATE LINEAR REGRESSION GIVEN BY A REDUNDANT DESCRIPTION
Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2022 A number of scientific works of Prof. O. A. Pavlov and his disciples is devoted to the development of an original method of efficient estimation of coefficients at nonlinear terms of multivariate polynomial regression given by a redundant description ...
Alexander Pavlov, Maxim Holovchenko
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Journal of Statistical Software, 2014 R package mixAK originally implemented routines primarily for Bayesian estimation of finite normal mixture models for possibly interval-censored data.
Arnot Komárek, Lenka Komárková
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Inference for High-dimensional Differential Correlation Matrices [PDF]
, 2015 Motivated by differential co-expression analysis in genomics, we consider in this paper estimation and testing of high-dimensional differential correlation matrices.
Cai, T. Tony, Zhang, Anru
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