Important and commonly encountered univariate probability distributions include the binomial distribution, the hypergeometric distribution, and the normal distribution.
12.
:This is a hypergeometric distribution.
13.
Other examples of distributions that are not exponential families are the F-distribution, Cauchy distribution, hypergeometric distribution and logistic distribution.
14.
:: I think this might be helpful to you Hypergeometric distribution---- ferret 22 : 36, 31 January 2013 ( UTC)
15.
In other words, the negative hypergeometric distribution describes the likelihood of k successes in a sample with exactly R failures.
16.
The negative hypergeometric distribution, NHG _ { N, K, R } ( k ) is the discrete distribution of this k.
17.
Fisher's noncentral hypergeometric distribution is used mostly for tests in contingency tables where a conditional distribution for fixed margins is desired.
18.
The description of urn models is complicated by the fact that there is " more than one noncentral hypergeometric distribution ".
19.
While the exponential distribution is the continuous analogue of the geometric distribution, the hyperexponential distribution is not analogous to the hypergeometric distribution.
20.
:: In case the OP is interested in reading more about such probability settings and analysis, Wikipedia has an article on hypergeometric distribution.
