Poisson distributed data is intrinsically integer-valued, which makes sense for count data. Ordinary Least Squares (OLS, which you call "linear regression") assumes that true values are …

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 …

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

Jun 26, 2015 · Poisson and exponential distributions are very strongly related but they're fundamentally different because the Poisson is discrete (a count variable) and the exponential …

From Poisson regression, relative risks can be reported, which some have argued are easier to interpret compared with odds ratios, especially for frequent outcomes, and especially by …

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 …

How to calculate a confidence level for a Poisson distribution? Ask Question Asked 14 years, 1 month ago Modified 8 months ago

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 …

Feb 29, 2016 · Note that Poisson distributions are entirely determined by their parameter, so a test of equality of their mean parameter is a test for whether the distributions are the same.