The waiting times for poisson distribution is an exponential distribution with parameter lambda. But I don't understand it. Poisson models the number of arrivals per unit of time for example. …

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

I have count data (demand/offer analysis with counting number of customers, depending on - possibly - many factors). I tried a linear regression with normal errors, but my QQ-plot is not …

I understand that for certain datasets such as voting it performs better. Why is Poisson regression used over ordinary linear regression or logistic regression? What is the mathematical …

Poisson regression would be more suitible in this case because your response is the count of something. Putting things simply, we model that the distribution of number of awards for an …

Nov 19, 2015 · where λ λ is the rate parameter. Apart from the fact that the formulas are obviously different, in layman's terms what is the difference between an Exponential and Poisson …

Nov 6, 2023 · The Poisson distribution implies z ∼ N(0, 1) z ∼ N (0, 1) so a one-sample t t test can provide a P -value for testing Poisson vs. negative binomial. Another test for equidispersion is …

Aug 25, 2021 · Is there a Continuous analogous of the Poisson Distribution? Under the analogous, I mean such a distribution that: It is a one-parameter distribution Its distribution …

Brief Summary Why is it more common for logistic regression (with odds ratios) to be used in cohort studies with binary outcomes, as opposed to Poisson regression (with relative risks)? …

May 26, 2024 · It is well known that the interarrival times for a standard (i.e. homogeneous) Poisson Process follow an Exponential Distribution (What is the correct inter-arrival time …