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Poisson    音标拼音: [p'ɔɪzsən]
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  • 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 How i
  • Why is Poisson regression used for count data?
    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 around the expected value and can take any real value, positive or negative, integer or fractional, whatever Finally, logistic regression only works for data that is 0-1-valued (TRUE-FALSE
  • Derivation of the variance of the Poisson distribution
    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] - \\
  • How can I test if given samples are taken from a Poisson distribution?
    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 test that
  • probability - What is the connection between binomial and poisson . . .
    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 how are they similar or different? I learned in class their PMF are different but not really understand where does such PMF comes from and intuitive way of explaining them
  • Difference between Poisson processes and Poisson distribution
    A Poisson process can do much better since indeed it answer to the question : What is the probability to receive k k call per unit of time ? But also to the question : what is the probability to receive a call between t t and t + h t + h ?
  • How to prove Poisson Distribution is the approximation of Binomial . . .
    An important property of the Poisson random variable is that it may be used to approximate a binomial random variable when the binomial parameter n n is large and p p is small





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