Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with deviance
Search options not deleted
user 261147
Deviance is a measure of distance between two probability distributions. In the case of GLMs, (total) deviance is twice the difference in log-likelihood between the full model and the restricted model.
0
votes
0
answers
286
views
How the deviance residual of a GLM model is actually calculated
However, when I run a GLM regression in R, the result gives a unique deviance residual of the model. … I would like to have 2 questions:
When there are many saturated model, which saturated model is chosen to calculate the deviance residual ? …
2
votes
2
answers
5k
views
What is null hypothesis in the deviance goodness of fit test for a GLM model?
To test the goodness of fit of a GLM model, we use the Deviance goodness of fit test (to compare the model with the saturated model). … Could you please tell me what is the mathematical form of the Null hypothesis in the Deviance goodness of fit test of a GLM model ? …