Timeline for Meaning of "Overdispersion" in Statistics
Current License: CC BY-SA 4.0
3 events
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| Aug 9 at 16:35 | comment | added | Dave |
@rolando2 Overdispersion means that the model underestimates the variance in the outcome at any given value of the explanatory variable. The overdispersion in a Poisson regression refers to the conditional distribution. After all, it is the conditional distribution that is assumed to be Poisson, rather than anything having to do with the marginal distribution.
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| Jul 15 at 3:13 | comment | added | rolando2 | At stats.stackexchange.com/questions/650973/… the most upvoted answer claims that the mean/variance relationship is "irrelevant to the amount of overdispersion." I cannot square that claim with your answer. | |
| Dec 3, 2021 at 2:36 | history | answered | Dave | CC BY-SA 4.0 |