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Re: GammaDistribution versus PoissonDistribution

  • To: mathgroup at smc.vnet.net
  • Subject: [mg79000] Re: GammaDistribution versus PoissonDistribution
  • From: Bill Rowe <readnewsciv at sbcglobal.net>
  • Date: Sun, 15 Jul 2007 01:09:45 -0400 (EDT)

On 7/14/07 at 2:42 AM, peter_van_summeren at yahoo.co.uk (P_ter) wrote:

>Hello, as far as I understand the GammaDistribution has two
>parameters: alfa and beta. With beta =1 one should get the
>PoissonDistribution with paramter alfa-1. I did, just to check:

You are incorrect here. The Poisson distribution is a discrete
distribution. The gamma distribution is a continuous
distribution. There are no parameters for the gamma distribution
that will result in a Poisson distribution. However, there is a
relationship between the Poisson distribution and gamma distribution.

Specifically, suppose the number of events (n) in some specified
length of time (t) has a Poisson distribution. The the time
between subsequent events will have a gamma distribution with
beta = 1 (an exponential distribution) and alpha = n/t. In
general the time from a given event k to event k+m, will be
gamma distributed with beta = m and alpha = n/t.
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