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?

Sep 18, 2019 · This is because the CDF of Poisson distribution is related to that of a Gamma distribution. Hence the incomplete gamma function.

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 · In my case, these values are 0.110 and 0.023, respectively. Is there any sort of rule of thumb as to how much the variance should exceed the mean, before going to the effort of running a …

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 …

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. …

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 …

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?

Closed 8 years ago. (First of all, just to confirm, an offset variable functions basically the same way in Poisson and negative binomial regression, right?) Reading about the use of an offset variable, it …

Nov 11, 2022 · The Poisson distribution function is given by: f(x) = P(X=x) = (e^(-λ) * λx )/x! I am writing some code and need to determine the number of events that will happen in a time step. Of course …