| To: | Jewel Bright <jwlbright@yahoo.com> |
|---|---|
| Subject: | Re: Related to Poisson |
| From: | Daniel Murphy <chiefmurphy@gmail.com> |
| Date: | Tue, 12 May 2009 07:17:13 -0700 |
| Cc: | s-news@lists.biostat.wustl.edu |
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So the new random variable can take values 0, A, 2A, ... ? You might want to look at the overdispersed poisson distribution. Your new random variable X=A*n will have mean A*lambda, where lambda is the mean of the poisson r.v. n. The variance of X will be A^2*Var(n)=A^2*lambda=A*(mean(X)). I.e, the variance of X will not equal its mean (as is the case with a poisson), but will be a multiple of its mean, with multiple A, called the "(over)dispersion parameter" (sometimes denoted with the greek letter phi). If you are given n (and therefore know lambda) and you know A, then P(X=x)=P(n=x/A) which you can calculate from the formula for n.
-Dan
On Tue, May 12, 2009 at 4:41 AM, Jewel Bright <jwlbright@yahoo.com> wrote:
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