About 992,000 results
Open links in new tab
  1. 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 …

  2. 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 …

  3. 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 …

  4. Inter-arrival time distribution of a Poisson process

    Nov 23, 2020 · 1 I'm actually looking at a rigorous way to prove that if $\ {N_t\}_ {t\geq 0}$ is a Poisson process of rate $\lambda >0$, then the inter-arrival times $ (H_n)_ {n\in \mathbb {N}}$ …

  5. 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 …

  6. How can I test if given samples are taken from a Poisson …

    I know of normality tests, but how do I test for "Poisson-ness"? I have sample of ~1000 non-negative integers, which I suspect are taken from a Poisson distribution, and I would like to …

  7. How to calculate a confidence level for a Poisson distribution?

    How to calculate a confidence level for a Poisson distribution? Ask Question Asked 14 years, 1 month ago Modified 8 months ago

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

    Nov 6, 2023 · The Poisson model may estimate too low, but I assume there's quite a few orders of magnitude to go before the interpretation changes (without considering any multiplicity or other …

  9. How to prove Poisson Distribution is the approximation of …

    May 22, 2016 · I was reading Introduction to Probability Models 11th Edition and saw this proof of why Poisson Distribution is the approximation of Binomial Distribution when n is large and p is …

  10. 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 …