A covariance matrix that accounts for different degrees of extraneous variation in multinomial responses

DOI10.1080/03610919908813556zbMath0929.62072OpenAlexW1975512748MaRDI QIDQ4266852

Jorge G. Morel

Publication date: 31 January 2000

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919908813556

zbMATH Keywords

generalized estimating equationsorthogonal decompositionCholesky decompositionresidual regressionextra variation

Mathematics Subject Classification ID

Multivariate analysis (62H99)

Related Items (1)

Dealing with overdispersion in multivariate count data

Cites Work

• Longitudinal data analysis using generalized linear models
• Extra-Binomial Variation in Logistic Linear Models
• A finite mixture distribution for modelling multinomial extra variation
• Chi-Square Tests for Overdispersion with Multiparameter Estimates
• Chi–square tests for comparing vectors of proportions for several cluster samples
• Analysis of contingency tables under cluster sampling
• A One-Step Gauss-Newton Estimator for Modelling Categorical Data with Extraneous Variation

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