- inverse hypergeometric distribution
Statistical terms. 2014.
Statistical terms. 2014.
Hypergeometric distribution — Hypergeometric parameters: support: pmf … Wikipedia
Normal-inverse Gaussian distribution — Normal inverse Gaussian (NIG) parameters: μ location (real) α tail heavyness (real) β asymmetry parameter (real) δ scale parameter (real) support … Wikipedia
Normal-scaled inverse gamma distribution — Normal scaled inverse gamma parameters: location (real) (real) (real) (real) support … Wikipedia
Probability distribution — This article is about probability distribution. For generalized functions in mathematical analysis, see Distribution (mathematics). For other uses, see Distribution (disambiguation). In probability theory, a probability mass, probability density … Wikipedia
Exponential distribution — Not to be confused with the exponential families of probability distributions. Exponential Probability density function Cumulative distribution function para … Wikipedia
Multinomial distribution — Multinomial parameters: n > 0 number of trials (integer) event probabilities (Σpi = 1) support: pmf … Wikipedia
Discrete phase-type distribution — The discrete phase type distribution is a probability distribution that results from a system of one or more inter related geometric distributions occurring in sequence, or phases. The sequence in which each of the phases occur may itself be a… … Wikipedia
Pearson distribution — The Pearson distribution is a family of continuous probability distributions. It was first published by Karl Pearson in 1895 and subsequently extended by him in 1901 and 1916 in a series of articles on biostatistics. History The Pearson system… … Wikipedia
Normal-gamma distribution — Normal gamma parameters: location (real) (real) (real) (real) support … Wikipedia
Matrix normal distribution — parameters: mean row covariance column covariance. Parameters are matrices (all of them). support: is a matrix … Wikipedia
Student's t-distribution — Probability distribution name =Student s t type =density pdf cdf parameters = u > 0 degrees of freedom (real) support =x in ( infty; +infty)! pdf =frac{Gamma(frac{ u+1}{2})} {sqrt{ upi},Gamma(frac{ u}{2})} left(1+frac{x^2}{ u} ight)^{ (frac{… … Wikipedia