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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 work But you'd need to prove the existence of the poisson distribution AND the existence of an exponential pdf to show that a poisson process is a suitable model!
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 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
How to Choose Poisson Time Interval - Cross Validated 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 as Poisson
Finding the probability of time between two events for a poisson process 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 $\lambda e^ {-\lambda x}$ with $\lambda = 0 556$ (determined above), so the area under this density curve (the cumulative probability) is 1
Residuals in poisson regression - Cross Validated Zuur 2013 Beginners Guide to GLM amp; GLMM suggests validating a Poisson regression by plotting Pearsons residuals against fitted values Zuur states we shouldn't see the residuals fanning out as