## 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 chi‐square distributions of the score statistic for testing const
✦ LIBER ✦
Bootstrap for generalized linear models
✍ Scribed by Günter Rothe
- Book ID
- 112938802
- Publisher
- Springer-Verlag
- Year
- 1989
- Tongue
- English
- Weight
- 290 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0932-5026
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## Abstract The class of generalized linear models (GLMs) extends the classical linear model for continuous, normal responses to describe the relationship between one or more predictor variables __x__~1~__,…,x__~__p__~ and a wide variety of nonnormally distributed responses __Y__ including binary,