Score and wald tests for the multivariate growth curve model with missing data and a patterned covariance matrix

DOI10.1080/03610929308831021zbMath0800.62289OpenAlexW2120060951MaRDI QIDQ4275151

James A. Koziol, Kao-Tai Tsai

Publication date: 23 January 1994

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929308831021

zbMATH Keywords

scorelongitudinal datacovariance structurelikelihood ratio testsrepeated measurementsWaldgrowth curvesincomplete multivariate data

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Linear inference, regression (62J99)

Cites Work

• Score and Wald tests for the multivariate growth curve model with missing data
• Unbalanced Repeated-Measures Models with Structured Covariance Matrices
• Multivariate Repeated-Measurement or Growth Curve Models with Multivariate Random-Effects Covariance Structure
• Simultaneous Estimation of Parameters in Different Linear Models and Applications to Biometric Problems
• A generalized multivariate analysis of variance model useful especially for growth curve problems
• The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves
• Likelihood ratio and associated test criteria

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