Determining the mean-variance relationship in generalized linear models -- A parametric robust way

DOI10.1016/J.JSPI.2010.05.029zbMath1197.62093OpenAlexW2017230311MaRDI QIDQ710766

Tsung-Shan Tsou

Publication date: 22 October 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.05.029

zbMATH Keywords

variance functiongeneralized linear modelsrobust likelihood

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Generalized linear models (logistic models) (62J12) Robustness and adaptive procedures (parametric inference) (62F35)

Uses Software

• alr3

Cites Work

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• Longitudinal data analysis using generalized linear models
• Quasi-likelihood functions
• Robust Poisson regression
• Inferences of variance function – a parametric robust way
• On the efficiency of quasi-likelihood estimation
• Interpreting Statistical Evidence by using Imperfect Models: Robust Adjusted Likelihood Functions
• On the use of a working correlation matrix in using generalised linear models for repeated measures
• Parametric robust inference about regression parameters for the correlation coefficient

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