Scaled deviance
Topic of Paired comparisons, and how far a fit is from the data, part of Generalised linear models
Scaled deviance
| Type | Topic |
| Taught in | Paired comparisons, and how far a fit is from the data |
| Part | Generalised linear models |
| Questions using it | 1 |
The deviance divided by the dispersion \phi. A difference in scaled deviance between nested models is referred to a chi-squared law when \phi is known, and to an F law when \phi is estimated from the same data.
In Paired comparisons, and how far a fit is from the data
For nested models the difference in scaled deviance, deviance divided by \phi, is referred to a chi-squared law if \phi is known, and to an F law if \phi is estimated from the same data. That is the GLM version of ANOVA, and anova on a glm object is doing it even though the name still says ANOVA. If the columns of {\color{blue}\boldsymbol{X}} are not orthogonal, the order of entry matters. A sequential p-value is the test of dropping that term while keeping everything listed above it, and nothing listed below it.
Used in
- Taught in Paired comparisons, and how far a fit is from the data
- Questions that use it (1) — C29
- All 4 questions on Paired comparisons, and how far a fit is from the data
See also
Deviance · Residual deviance · Null deviance · Saturated model · Deviance residual · Dispersion parameter · Bradley–Terry model · Three links, one cholesterol slope · Analysis of deviance