Maximum likelihood estimation for joint mean-covariance models from unbalanced repeated-measures data
type: Item
instance of: scholarly article
title: Maximum likelihood estimation for joint mean-covariance models from unbalanced repeated-measures data
zbMATH Open document ID: 1106.62025
author: Christine Spinka
author: Scott H. Holan
published in: Statistics \& Probability Letters
publication date: 2007-03-15T00:00:00Z
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62E20
Mathematics Subject Classification ID: 62H12
zbMATH DE Number: 5134214
zbMATH Keywords: associated populations
zbMATH Keywords: asymptotic normality
zbMATH Keywords: independent not identically distributed (i.n.i.d.)
zbMATH Keywords: maximum likelihood estimation
zbMATH Keywords: modified Cholesky decomposition
zbMATH Keywords: unbalanced design
MaRDI profile type: Publication
full work available at URL: j.spl.2006.07.013
OpenAlex ID: W2068820948
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cites work: Q4792070
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cites work: Q4219536
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cites work: Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
cites work: Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix
DOI: 10.1016/J.SPL.2006.07.013
description: scientific article; zbMATH DE number 5134214