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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 at …

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

    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 normally distributed …

  3. 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?

  4. Continuous Poisson Distribution - Mathematics Stack Exchange

    Aug 25, 2021 · There are different types of continuous extensions of Poisson distribution. I favor the one presented in this paper: "Continuous counterparts of Poisson and binomial distributions and their …

  5. Residuals in poisson regression - Cross Validated

    May 17, 2014 · Zuur 2013 Beginners Guide to GLM & GLMM suggests validating a Poisson regression by plotting Pearsons residuals against fitted values. Zuur states we shouldn't see the …

  6. 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 processes be modeled …

  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 really goo...

  8. Derivation of the variance of the Poisson distribution

    Oct 13, 2022 · Is this derivation of the Poisson variance correct? I mainly want to make sure I'm applying the Law of the Unconscious Statistician (LOTUS) correctly. $ Var[X] = E[X^2] - E[X]^2 $ $ = E[X^2] - \\

  9. 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 …

  10. 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 distribution in a …