Abstract
The factorial moment generating function (FMGF) of the multivariate Poisson normal (or Hermite) distribution is derived as the limiting form of a multinomial process and as the FMGF of a mixture of independent Poisson distributions when the parameters have a multivariate normal distribution. The FMGF is then used as starting point to derive a limiting form, a series expansion, marginal and conditional distributions as well as for estimating the parameters by using jointly the method of moments and least squaresf or correlated variables.

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