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 …

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

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 …

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 …

Oct 19, 2024 · The Poisson process on R R is called non-homogenous with rate λ(t) λ (t) if its intensity measure has density λ(t) λ (t) (total mass of which might not equal 1, but otherwise it …

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 …

May 25, 2015 · If two events occur at a rate of 1.8 per hour on average, and this occurrence follows a poisson process, what is the probability that there is at least 1 hour between two …

Would like to know how confident I can be in my λ λ. Anyone know of a way to set upper and lower confidence levels for a Poisson distribution? Observations (n n) = 88 Sample mean (λ λ) …

Jun 26, 2015 · Poisson and exponential distributions are very strongly related but they're fundamentally different because the Poisson is discrete (a count variable) and the exponential …

This was in discussions of interpreting logistic regression coefficients, but Poisson regression is similar if you use an offset of time at risk to get rates. You add first all the coefficients …