A logistic truncated normal mixture model for overdispersed binomial data

DOI10.1080/00949659708811866zbMath0921.62087OpenAlexW2041498513MaRDI QIDQ4374345

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Publication date: 5 May 1999

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949659708811866

zbMATH Keywords

maximum likelihood estimationmixture modelextra-binomial variationfission track analysishalf-Hermite quadraturelogistic normal

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12) Linear inference, regression (62J99) Geostatistics (86A32)

Cites Work

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• Extra-Binomial Variation in Logistic Linear Models
• Estimating the dimension of a model
• SOME MODELS FOR OVERDISPERSED BINOMIAL DATA
• Gaussian-quadrature formulas for
• Mixed Poisson Regression Models with Covariate Dependent Rates
• Recovering extra-binomial variation
• THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA
• A new look at the statistical model identification

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