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- probability - Distribution of Event Times in a Poisson Process . . .
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?
- 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
- 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
- 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
- r - Rule of thumb for deciding between Poisson and negative binomal . . .
The Poisson distribution implies so a one-sample test can provide a -value for testing Poisson vs negative binomial Another test for equidispersion is the Lagrange Multiplier which follows a one-degree distribution under the null
- 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
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