Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Inprobability theory and statistics, Fisher's noncentral hypergeometric distribution is a generalization of the hypergeometric distribution where sampling probabilities are modified by weight factors. Fisher's noncentral hypergeometric distribution 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 balls. Each red ball has the weight ¿1 and each white ball has the weight ¿2. We will say that the odds ratio is ¿ = ¿1 / ¿2. Now we are taking balls randomly in such a way that the probability of taking a particular ball is proportional to its weight, but independent of what happens to the other balls.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 84 pp. Englisch. Seller Inventory # 9786200904768
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Inprobability theoryand statistics, Fisher's noncentral hypergeometric distributionis a generalization of the hypergeometric distributionwhere sampling probabilities are modified by weight factors. Fisher's noncentral hypergeometric distribution can also be defined as theconditional distributionof two or morebinomially distributedvariables dependent upon their fixed sum. The distribution may be illustrated by the followingurn model. Assume, for example, that an urn containsm1red balls andm2white balls, totallingN=m1+m2balls. Each red ball has the weight ¿1and each white ball has the weight ¿2. We will say that the odds ratio is ¿ = ¿1/ ¿2. Now we are taking balls randomly in such a way that the probability of taking a particular ball is proportional to its weight, but independent of what happens to the other balls. Seller Inventory # 9786200904768
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 84 pp. Englisch. Seller Inventory # 9786200904768