LEVERAGE ADJUSTMENTS FOR DISPERSION MODELLING IN GENERALIZED NONLINEAR MODELS

DOI10.1111/j.1467-842X.2009.00556.xzbMath1337.62155OpenAlexW2052827579WikidataQ56880371 ScholiaQ56880371MaRDI QIDQ2810400

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Publication date: 1 June 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-842x.2009.00556.x

zbMATH Keywords

saddlepoint approximationmaximum likelihoodgamma distributioninverse-Gaussian distributionmodified profile likelihoodresidual maximum likelihooddouble generalized linear models

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02)

Related Items (1)

Variable selection in joint mean and dispersion models via double penalized likelihood

Uses Software

• GLIM

Cites Work

• Double Exponential Families and Their Use in Generalized Linear Regression
• An extended quasi-likelihood function
• Variance Function Estimation
• Analyzing Dispersion Effects from Replicated Factorial Experiments
• Estimating Regression Models with Multiplicative Heteroscedasticity
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• A Generalized Linear Modeling Approach to Robust Design
• The score function and a comparison of various adjustments of the profile likelihood
• Bayesian inference for variance components using only error contrasts
• Recovery of inter-block information when block sizes are unequal
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