Note, that a poisson distribution does not automatically imply an exponential pdf for waiting times between events. This only accounts for situations in which you know that a poisson process is at …

Sep 5, 2024 · Normally, everyone talks about the distribution of interarrival times in a Poisson Process are Exponential ... but what about the distribution of the actual event times?

I have count data (demand/offer analysis with counting number of customers, depending on - possibly - many factors). I tried a linear regression with normal errors, but my QQ-plot is not really goo...

Jan 15, 2016 · The problem with Poisson distribution is that it is rather inflexible in the fact that it assumes that mean is equal to variance, if this assumption is not met, you may consider using quasi …

How to calculate a confidence level for a Poisson distribution? Ask Question Asked 14 years, 3 months ago Modified 10 months ago

If both the Poisson and Binomial distribution are discrete, then why do we need two different distributions?

I'm creating Poisson GLMs in R. To check for overdispersion I'm looking at the ratio of residual deviance to degrees of freedom provided by summary (model.name). Is there a cutoff value or test fo...

I know of normality tests, but how do I test for "Poisson-ness"? I have sample of ~1000 non-negative integers, which I suspect are taken from a Poisson distribution, and I would like to test that.

Whenever I Google something like "practical uses of gamma GLM", I come up with advice to use it for waiting times between Poisson events. OK. But that seems restrictive and can't be its only use. …

Jun 12, 2024 · For t test or normal distribution, the pwr package in R and determining cohen's d is simple, but I am not sure how to perform this when working with counts data following a poisson …