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?

Oct 4, 2013 · 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 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 …

Aug 25, 2021 · There are different types of continuous extensions of Poisson distribution. I favor the one presented in this paper: "Continuous counterparts of Poisson and binomial distributions and their …

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 …

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

Feb 3, 2025 · Now I construct a compound Poisson process in the following way. Let X1 X 1 be the waiting time for the 1 1 -th event (of the same Poisson process defined before).

Jun 11, 2024 · You need to explain a bit more what is going on. Currently this question creates three different answers: 1 interpreting your question as being about a truncated/sensored observation 2 …

Feb 19, 2023 · The Poisson and quasi-Poisson models differ in their assumptions about the form of the function relating the mean and variance of each observation. The Poisson assumes the variance …