An improved method for the computation of maximum likelihood estimates for multinomial overdispersion models

DOI10.1016/j.csda.2004.05.007zbMath1430.62015OpenAlexW2082633197MaRDI QIDQ957175

Jorge G. Morel, Nagaraj K. Neerchal

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.05.007

zbMATH Keywords

beta-binomial distributionFisher scoring algorithmDirichlet-multinomial distributionmixture of multinomial distributions

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10)

Related Items (9)

Dealing with overdispersion in multivariate count data ⋮ Overdispersion in allelic counts and \(\theta\)-correction in forensic genetics ⋮ Drawing inferences about the coancestry coefficient ⋮ Toward an Efficient Computation of Log-Likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering ⋮ On the method of approximate Fisher scoring for finite mixtures of multinomials ⋮ An approximation to the information matrix of exponential family finite mixtures ⋮ Efficient Monte Carlo computation of Fisher information matrix using prior information ⋮ Maximum-likelihood estimation of the random-clumped multinomial model as a prototype problem for large-scale statistical computing ⋮ Editorial: Advances in mixture models

Uses Software

• nlmdl

Cites Work

• A finite mixture distribution for modelling multinomial extra variation
• Large Cluster Results for Two Parametric Multinomial Extra Variation Models
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