theory and statistics, Fisher's noncentral hypergeometric distribution is a generalization of the hypergeometric distribution where sampling probabilities...

Wallenius' noncentral hypergeometric distribution (named after Kenneth Ted Wallenius) is a generalization of the hypergeometric distribution where items...

Fisher distribution may refer to any of several probability distributions named after Ronald Fisher: Behrens–Fisher distribution Fisher's noncentral hypergeometric...

Wallenius and R. A. Fisher, who were the first to describe the respective distributions. Fisher's noncentral hypergeometric distribution had previously been...

success probabilities. Fisher's noncentral hypergeometric distribution Wallenius' noncentral hypergeometric distribution Benford's law, which describes...

In probability theory and statistics, the hypergeometric distribution is a discrete probability distribution that describes the probability of k {\displaystyle...

FisherZ ⁡ ( n , m ) {\displaystyle {\tfrac {\log {X}}{2}}\sim \operatorname {FisherZ} (n,m)} (Fisher's z-distribution) The noncentral F-distribution simplifies...

value of the parameter". Fisher's noncentral hypergeometric distribution, a generalization of the hypergeometric distribution, where sampling probabilities...

linear discriminator Fisher's method Fisher's noncentral hypergeometric distribution Fisher's z-distribution Fisher–Tippett distribution – redirects to Generalized...

parametrization of the beta distribution). The beta distribution is the special case of the noncentral beta distribution where λ = 0 {\displaystyle \lambda...

The noncentral t distribution generalizes the t distribution to include a noncentrality parameter. Unlike the nonstandardized t distributions, the noncentral...

beta prime distribution If V 1 ∼ χ ′ k 1 2 ( λ ) {\displaystyle V_{1}\sim {\chi '}_{k_{1}}^{2}(\lambda )} , a noncentral chi-squared distribution, and V 2...

_{1}} . The square of X / σ {\textstyle X/\sigma } has the noncentral chi-squared distribution with one degree of freedom: X 2 / σ 2 ∼ χ 1 2 ( μ 2 / σ 2...

{\mu }})+k\ln(2\pi )\right]} , The circularly symmetric version of the noncentral complex case, where z {\displaystyle {\boldsymbol {z}}} is a vector of...

In statistics, Wilks' lambda distribution (named for Samuel S. Wilks), is a probability distribution used in multivariate hypothesis testing, especially...

product distribution is a probability distribution constructed as the distribution of the product of random variables having two other known distributions. Given...

elliptical distribution is any member of a broad family of probability distributions that generalize the multivariate normal distribution. In the simplified...

Laplace distributions are extensions of the Laplace distribution and the asymmetric Laplace distribution to multiple variables. The marginal distributions of...