A comparison of tests for overdispersion in generalized linear models
β Scribed by Ohara Hines, R.J.
- Book ID
- 126737273
- Publisher
- Taylor and Francis Group
- Year
- 1997
- Tongue
- English
- Weight
- 672 KB
- Volume
- 58
- Category
- Article
- ISSN
- 0094-9655
No coin nor oath required. For personal study only.
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Liang and Zeger introduced a class of estimating equations that gives consistent estimates of regression parameters and of their variances in the class of generalized linear models for longitudinal data. When the response variable in such models is subject to overdispersion, the oerdispersion parame
## Abstract In many applications of generalized linear mixed models to clustered correlated or longitudinal data, often we are interested in testing whether a random effects variance component is zero. The usual asymptotic mixture of chiβsquare distributions of the score statistic for testing const