Inferences of variance function – a parametric robust way

DOI10.1080/02664760500079803zbMath1121.62502OpenAlexW2000910242MaRDI QIDQ3592031

Tsung-Shan Tsou

Publication date: 11 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760500079803

zbMATH Keywords

variance functiongeneralized linear modelsnormal regressionrobust profile likelihood

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Robust likelihood inferences about regression parameters for general bivariate continuous data ⋮ A Robust Score Test for Testing Several Coefficients of Variation with Unknown Underlying Distributions ⋮ Robust likelihood inference for regression parameters in partially linear models ⋮ Regression Diagnostic under Model Misspecification ⋮ Parametric robust inference about regression parameters for the correlation coefficient ⋮ Determining the mean-variance relationship in generalized linear models -- A parametric robust way ⋮ Likelihood inferences for the link function without knowing the true underlying distributions

Uses Software

• GLIM

Cites Work

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