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?

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 …

Nov 6, 2023 · The Poisson distribution implies so a one-sample test can provide a -value for testing Poisson vs. negative binomial. Another test for equidispersion is the Lagrange Multiplier which …

Apr 6, 2025 · Should I do a Poisson regression with robust standard errors, or a Negative Binomial regression with bootstrapped standard errors? Both provide similar results in terms of significance …

Dec 10, 2023 · 1 I will give an intuitive explanation, only needing the defining properties of the Poisson Process and the exponential distribution, without needing any calculations involving densities. In …

Apr 22, 2025 · Ultimately I am trying to compare if the generalized poisson or hurdle model is a better fit for my data but I am having trouble interpreting the glmmTMB hurdle model summary and methods. …

Nov 6, 2023 · The Poisson distribution has a semi-infinite support on non-negative integers so, looking from the median, it has a finite tail to the left and an infinite tail to the right and thus is not symmetric

Sep 8, 2022 · Why should Poisson Regression be used for Count Data instead of a "vanilla linear regression"? I understand the basic argument : Count Data is by definition discrete and you would …

Jan 28, 2024 · Is it appropriate to employ a zero-inflated Poisson regression model for datasets characterized by a notable presence of zeros, even when these zeros are true zeros?

May 25, 2015 · The logic here seems obvious: The probability of a given wait time for independent events following a poisson process is determined by the exponential probability distribution $\lambda …