Abstract
Use and implementation of the complementary log regression model are discussed, integrating various separate applications of the model under the form of a generalized linear model. Some motivation is drawn from cases where an underlying random variable is reduced to a dichotomous form. Estimation and testing are facilitated by recognizing the complementary log as a specific link function within a generalized linear framework. Testing for goodness of link via efficient scores is also discussed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 94-99 |
| Number of pages | 6 |
| Journal | American Statistician |
| Volume | 46 |
| Issue number | 2 |
| DOIs | |
| State | Published - May 1992 |
| Externally published | Yes |
Keywords
- Binomial model
- Data truncation
- Extended link family
- Goodness-of-link testing
- Logistic regression
- Nonlinear regression
ASJC Scopus subject areas
- Statistics and Probability
- General Mathematics
- Statistics, Probability and Uncertainty
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