
Poisson or quasi poisson in a regression with count data and ...
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 …
Relationship between poisson and exponential distribution
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. …
What advantages does Poisson regression have over linear …
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 …
probability - Cumulative Distribution function of a Poisson ...
Sep 18, 2019 · This is because the CDF of Poisson distribution is related to that of a Gamma distribution. Hence the incomplete gamma function.
probability - When to use Binomial Distribution vs. Poisson ...
Dec 11, 2014 · Poisson distribution a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time and/or space if these events …
Why is Poisson regression used for count data?
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 …
probability - What is the connection between binomial and …
Feb 9, 2017 · Poisson is also for counting events happening. What is the connection between them? I know is that when sample size is large both can be approximated with normal. But …
Interarrival Times for a Non-Homogeneous Poisson Process
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 …
r - Rule of thumb for deciding between Poisson and negative …
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 …
arrival time poisson processes - Cross Validated
Apr 7, 2020 · The arrival times of customers in a bakery can be modeled by a Poisson process (Nt)t≥0 with some rate λ > 0. On average, there are four arrivals per unit of time. I want to ask …