Premium
Approximate Likelihood Ratio Tests in the Analysis of Beta‐Binomial Data
Author(s) -
Brooks R. J.
Publication year - 1984
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2347705
Subject(s) - statistics , beta binomial distribution , mathematics , beta (programming language) , binomial (polynomial) , binomial proportion confidence interval , binomial distribution , likelihood ratio test , beta distribution , econometrics , negative binomial distribution , computer science , poisson distribution , programming language
SUMMARY Likelihood ratio tests for comparing logistic‐linear models in the analysis of beta‐binomially distributed observations are generally tedious to compute. A method of obtaining approximate likelihood ratio tests that uses the GLIM system is proposed.