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Fisher's noncentral hypergeometric distribution - Alchetron, the free social encyclopedia

Fisher's noncentral hypergeometric distribution - Alchetron, the free social encyclopedia

In probability theory and statistics, Fisher's noncentral hypergeometric distribution is a generalization of the hypergeometric distribution where sampling probabilities are modified by weight factors. It can also be defined as the conditional distribution of two or more binomially distributed varia

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If we sample from a small finite population without replacement, the binomial distribution should not be used because the events are not independent. If sampling is done without replacement and the outcomes belong to one of two types, we can use the hypergeometric distribution. If a population has A objects of one type (such as lottery numbers you selected), while the remaining B objects are of the other type (such as lottery numbers you didn't select), and if n objects are sampled without repla

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