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 …

Oct 19, 2024 · The Poisson process on $\mathbb {R}$ is called non-homogenous with rate $\lambda (t)$ if its intensity measure has density $\lambda (t)$ (total mass of which might not …

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 …

Jul 2, 2023 · 0 Time of the first arrival in Poisson process with rate $\lambda$ is exponential random variable $\sim Exp (\lambda)$.

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 …

Feb 3, 2025 · Now I construct a compound Poisson process in the following way. Let $X_1$ be the waiting time for the $1$ -th event (of the same Poisson process defined before).

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 …

Mar 18, 2023 · Since the mean of the Poisson distribution is $\lambda$, you can use this to estimate $\lambda$. The "theoretical" values in the table are then obtained using the formula …

Jul 3, 2025 · Standard errors when implementing the 'Poisson Trick' (estimating multinomial from two poisson regressions) Ask Question Asked 7 months ago Modified 7 months ago

May 16, 2024 · I have been puzzling over a toy regression problem with simulated Poisson distributed data and hoping someone more educated in statistics can help me gain some …