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Poisson regression is one of a number of regression models for dependent variables that are counts (non-negative integers). A more general model is negative binomial regression. Both have numerous variants.

1 vote
0 answers
307 views

z-values vs t-values in (generalized) linear models [duplicate]

Why does logistic/poisson regression in R give z-values while linear regression gives t-values in the summary output? In general, z-test is used when the population variance is known, but I am finding …
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3 votes
Accepted

Model diagnostic in GLM

Assuming the model is correct, for each value of the covariate, you simulate the response y for a certain number of times (e.g. 10 times). Then you constructive the cumulative distribution of y for th …
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5 votes
1 answer
974 views

Likelihood ratio test vs p value for Poisson regression

I have a Poisson regression model, from its summary table, I could see the p-value for a certain variable, e.g. gender. Since the p-value is testing the hypothesis whether the coefficient of gender eq …
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