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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.
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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 …
3
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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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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 …