Analyzing over-dispersed count data in two-way cross-classification problems using generalized linear models

DOI10.1080/00949659908811956zbMath0936.62080OpenAlexW2029917072MaRDI QIDQ4262903

Linda J. Young, Nancy L. Campbell, George A. Capuano

Publication date: 18 May 2000

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

Full work available at URL: https://doi.org/10.1080/00949659908811956

zbMATH Keywords

count datanegative binomial distributionsover-dispersioncross-classification

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

Related Items

The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion)

Uses Software

• PROC GENMOD
• SAS/STAT

Cites Work

• Unnamed Item
• The robustness of the likelihood ratio test, the nonparametric sum rank test, and f-ratio tests when the populations are from the negative binomial family
• Analysis of one-way layout of count data with negative binomial variation
• Some remarks on overdispersion
• Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, II. Effects of Inequality of Variance and of Correlation Between Errors in the Two-Way Classification

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