probability - Distribution of Event Times in a Poisson Process ...
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?
Relationship between poisson and exponential distribution
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 …
r - Rule of thumb for deciding between Poisson and negative binomal ...
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 …
poisson distribution - How to interpret hurdle model in glmmTMB - do ...
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. …
Finding the probability of time between two events for a poisson process
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 …
When to use negative binomial and Poisson regression
Sep 2, 2024 · When would one use a negative binomial regression and when would one use Poisson regression with respect to the mean and variance?
Bootstrapped vs Robust in Negative Binomial vs Poisson Model
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 …
Probability Poisson distribution - Mathematics Stack Exchange
The number of cars appearing in a car park follows a Poisson distribution with a mean of 10 cars per hour. Find the probability of there being: (a) Exactly 5 cars in a 30 minute interval, (b) At most 3 cars …
When to use an offset in a Poisson regression? [duplicate]
Here is an example of application. Poisson regression is typically used to model count data. But, sometimes, it is more relevant to model rates instead of counts. This is relevant when, e.g., …
Poisson regression to estimate relative risk for binary outcomes
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 individuals without a …