Generalized Linear Models
โ Scribed by Charles E. McCulloch
- Book ID
- 121419888
- Publisher
- American Statistical Association
- Year
- 2000
- Tongue
- English
- Weight
- 860 KB
- Volume
- 95
- Category
- Article
- ISSN
- 0162-1459
- DOI
- 10.2307/2669780
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## 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~__,โฆ,x__~__p__~ and a wide variety of nonnormally distributed responses __Y__ including binary,
Generalized linear models have become a standard class of models for data analyst:~. However, in some applications, heterogeneity in samples is too great to be explained by the simple variance function implicit in such models. Utilizing a two parameter exponential family which is overdispersed relat