Maximum Likelihood Estimation for Multinomial-Poisson Models: A Generalization of Birch's Numerical Invariance Results

DOI10.1002/sjos.12001zbMath1364.62053OpenAlexW2165232308MaRDI QIDQ2852627

Joseph B. Lang

Publication date: 9 October 2013

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

Full work available at URL: https://doi.org/10.1002/sjos.12001

zbMATH Keywords

maximum likelihoodcontingency tablescategorical datahomogeneous constraintsnon-log-linear modelssampling plan [noninvariance]

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Parametric inference under constraints (62F30) Sampling theory, sample surveys (62D05)

Cites Work

• Multinomial-Poisson homogeneous models for contingency tables.
• The Pearson Score Statistic for Multinomial-Poisson Models
• Homogeneous Linear Predictor Models for Contingency Tables
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