Maximum-likelihood estimation of the random-clumped multinomial model as a prototype problem for large-scale statistical computing

DOI10.1080/00949655.2012.684095zbMath1453.62398OpenAlexW1971993324MaRDI QIDQ5218941

Nagaraj K. Neerchal, Andrew M. Raim, Matthias K. Gobbert, Jorge G. Morel

Publication date: 6 March 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2012.684095

zbMATH Keywords

parallel computingmixture distributionmultinomialmaximum-likelihood estimation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Parallel numerical computation (65Y05)

Uses Software

• TAO

Cites Work

• Unnamed Item
• An improved method for the computation of maximum likelihood estimates for multinomial overdispersion models
• A finite mixture distribution for modelling multinomial extra variation
• Large Cluster Results for Two Parametric Multinomial Extra Variation Models
• Miscellanea. An extension of Morel-Nagaraj's finite mixture distribution for modelling multinomial clustered data

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