Semiparametric estimation for the dispersion parameter in the analysis of over- or underdispersed count data

DOI10.1080/02664760802382459zbMath1253.62022OpenAlexW1981233888MaRDI QIDQ3183857

Krishna K. Saha

Publication date: 21 October 2009

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

Full work available at URL: https://doi.org/10.1080/02664760802382459

zbMATH Keywords

maximum likelihoodnegative binomial modeltoxicological datasemiparametric procedures

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (2)

Profile likelihood-based confidence interval for the dispersion parameter in count data ⋮ Estimating the negative binomial dispersion parameter with highly stratified surveys

Cites Work

• Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions
• Robust estimation in heteroscedastic linear models
• Asymptotic relations between the likelihood estimating function and the maximum likelihood estimator
• An extension of quasi-likelihood estimation
• Estimation of the Negative Binomial Parameter κ by Maximum Quasi -Likelihood
• An extended quasi-likelihood function
• On linear and quadratic estimating functions
• Analysis of one-way layout of count data with negative binomial variation
• A mixed poisson–inverse‐gaussian regression model

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