Articles liés à Fisher's Noncentral Hypergeometric Distribution:...

Fisher's Noncentral Hypergeometric Distribution: Probability theory, Statistics, Hypergeometric distribution - Couverture souple

 
9786200904768: Fisher's Noncentral Hypergeometric Distribution: Probability theory, Statistics, Hypergeometric distribution

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.