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  1. 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 …

  2. How does Poisson thinning work? - Mathematics Stack Exchange

    Oct 19, 2024 · The Poisson process on $\mathbb {R}$ is called non-homogenous with rate $\lambda (t)$ if its intensity measure has density $\lambda (t)$ (total mass of which might not …

  3. Why is Poisson regression used for count data? - Cross Validated

    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 …

  4. r - Rule of thumb for deciding between Poisson and negative …

    Nov 6, 2023 · The Poisson distribution implies so a one-sample test can provide a P -value for testing Poisson vs. negative binomial. Another test for equidispersion is the Lagrange …

  5. Finding the probability of time between two events for a poisson …

    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 …

  6. An intuitive explanation of the Poisson equation?

    Dec 8, 2023 · Poisson Equation: The Poisson equation, $$\nabla^2 u = f$$, describes how a scalar function (u) changes in response to a given "influence" represented by (f). It's like …

  7. 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 …

  8. spss - Difference between binomial, negative binomial and Poisson ...

    I am looking for some information about the difference between binomial, negative binomial and Poisson regression and for which situations are these regression best fitted.

  9. How to Choose Poisson Time Interval - Cross Validated

    Oct 23, 2020 · A Poisson process is one where mean = var = λ. How do you decide what time interval fulfills these criteria when fitting the Poisson distribution to a process? Can all …

  10. Checking if two Poisson samples have the same mean

    This is an elementary question, but I wasn't able to find the answer. I have two measurements: n1 events in time t1 and n2 events in time t2, both produced (say) by Poisson processes with …