Message-ID: <2C5520AB-7F95-497F-8C15-15C436EB9024@kyushu-u.org>
Date: 2012-09-25T04:28:31Z
From: 粕谷 英一
Subject: appropriate test in glm when the family is Gamma
Dear R users,
Which test is most appropriate in glm when the family is Gamma?
In the help page of anova.glm, I found the following
?For models with known dispersion (e.g., binomial and Poisson fits) the chi-squared test is most appropriate, and for those with dispersion estimated by moments (e.g., gaussian, quasibinomial and quasipoisson fits) the F test is most appropriate.?
My questions :
(1)When the family is Gamma, is F-test most appropriate? or chi-square-test? or another?
(2)Aside from the tests made by anova.glm, there are other tests (e.g. Wald and score). Are they ( or one of them) more appropriate when the family is Gamma?