Consistent estimators of the variance-covariance matrix of the gmanova model with missing data

DOI10.1080/03610929308831100zbMath0791.62061OpenAlexW2043046106MaRDI QIDQ4275740

Robert D. Mensah, Vernon M. Chinchilli, R. K. Jun. Elswick

Publication date: 5 July 1994

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

Full work available at URL: https://doi.org/10.1080/03610929308831100

zbMATH Keywords

Monte Carlo simulationvariance-covariance matrixGMANOVAconsistent estimatorsgrowth curvegeneralized multivariate analysis of variancemultivariate general linear modelsestimated generalized least squares approachpartially missing response data

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

• Seemingly unrelated nonlinear regressions
• A note on a Manova model applied to problems in growth curve
• A generalization of the growth curve model which allows missing data
• SOME PROBLEMS INVOLVING LINEAR HYPOTHESES IN MULTIVARIATE ANALYSIS
• On the analysis of incomplete growth curve data, a Monte Carlo study of two nonparametric procedures
• 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
• An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias

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