Fisher's noncentral hypergeometric distribution
id:
fisher-s-noncentral-hypergeometric-distribution-244-13537914
title:
Fisher's noncentral hypergeometric distribution
text:
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 variables dependent upon their fixed sum. The distribution may be illustrated by the following urn model. Assume, for example, that an urn contains m1 red balls and m2 white balls, totalling N = m1 + m2 ba
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https://en.wikipedia.org/wiki/Fisher%27s_noncentral_hypergeometric_distribution
date created:
date modified:
2024-02-28T00:20:31Z
main entity:
{"identifier":"Q5454741","url":"https://www.wikidata.org/entity/Q5454741"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/2/22/FishersNoncentralHypergeometric1.png","width":517,"height":422}
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