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 …

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 …

Oct 23, 2020 · A Poisson process is one where mean = var = λ. How do you decide what time interval fulfills these criteria when fitting the Poisson distribution to a process?

To test the Poisson mean, the conditional method was proposed by Przyborowski and Wilenski (1940). The conditional distribution of X1 given X1+X2 follows a binomial distribution whose …

Zuur 2013 Beginners Guide to GLM & GLMM suggests validating a Poisson regression by plotting Pearsons residuals against fitted values. Zuur states we shouldn't see the residuals …

Sep 8, 2022 · Poisson regression deals with some of the quirks of modeling count rates, including the requirement that rates be positive and the presence of zero count cases in the data, which …

How to calculate a confidence level for a Poisson distribution? Ask Question Asked 14 years, 2 months ago Modified 8 months ago

Aug 25, 2021 · Is there a Continuous analogous of the Poisson Distribution? Under the analogous, I mean such a distribution that: It is a one-parameter distribution Its distribution …

Dec 11, 2014 · Poisson distribution a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time and/or space if these events …

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 …