The Anscombe transformation is used in systems which follow this distribution, and variables that follow this distribution are subject to Robbins Lemma. When it has an expected value of 1, the nth moment of this distribution 
The Anscombe transformation is used in systems which follow this distribution, and variables that follow this distribution are subject to Robbins Lemma. When it has an expected value of 1, the nth moment of this distribution is equal to the number of partitions of a set of n elements. If two variables follow it, their difference follows the Skellam distribution. Used to model the number of mutations in irradiated DNA or the number of calls to a call center, this limiting case of the binomial distribution is entirely reliant on the parameter lambda, which is equal to its mean and variance. Usually used to model events with low probability, FTP, name this statistical distribution named for a Frenchman.
The Anscombe transformation is used in systems which follow this distribution, and variables that follow this distribution are subject to Robbins Lemma.
{Poisson} distribution