Convergence to the Poisson distribution, for the number of occurrences of dependent events, can often be established by computing only first and second moments, but not higher ones. This remarkable ...

Ce résultat constitue une extension des travaux de Hodges et LeCam (1960) concernant l'approximation de la distribution binomiale par une Poisson. On présente des applications à la théorie des tests d ...

Poisson Statistics Applies The above applications normally fulfill the conditions that characterize the Poisson Distribution 1, 2: 1) The events are randomly and evenly distributed over the sampling ...

Poisson (see illustration) was an extraordinary scientist. A mathematician and physicist, he is known for Poisson's equation (which describes tensor fields), the Poisson distribution (statistics ...

Quasi-Likelihood Functions For binomial and Poisson distributions, the scale parameter has a value of 1. The variance of Y is for the binomial distribution and for the Poisson distribution.