A robust property of pseudo-likelihood estimation for count data

DOI10.1016/0378-3758(93)90019-3zbMath0772.62018OpenAlexW2001147293MaRDI QIDQ2366573

C. B. Dean

Publication date: 30 August 1993

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

Full work available at URL: https://doi.org/10.1016/0378-3758(93)90019-3

zbMATH Keywords

consistencycount dataquasi-likelihood estimationasymptotic varianceoverdispersionmixture modelestimating equationmoment methodsmatched designestimator of the covariate effectextra- Poisson variationextra-binomial variationpseudo-likelihood estimating functionvariance misspecification

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Robustness and adaptive procedures (parametric inference) (62F35)

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Cites Work

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• Longitudinal data analysis using generalized linear models
• Asymptotic relations between the likelihood estimating function and the maximum likelihood estimator
• An extension of quasi-likelihood estimation
• The Analysis of Rates Using Poisson Regression Models
• The poisson-inverse gaussian disiribuiion as a model for species abundance
• A Biometrics Invited Paper with Discussion: The Natural Variability of Vital Rates and Associated Statistics
• Negative binomial and mixed poisson regression
• Variance Function Estimation
• Regression of Area Mortality Rates on Explanatory Variables: What Weighting is Appropriate?
• Modelling the Extraneous Variance in the Presence of Extra-Binomial Variation
• A mixed poisson–inverse‐gaussian regression model
• Maximum Likelihood Estimation of Misspecified Models