probability theory and statistics, the negative multinomial distribution is a generalization of the negative binomial distribution (NB(x0, p)) to more than two...

In probability theory, the multinomial distribution is a generalization of the binomial distribution. For example, it models the probability of counts...

Dirichlet negative multinomial distribution is a multivariate distribution on the non-negative integers. It is a multivariate extension of the beta negative binomial...

the Dirichlet-multinomial distribution is a family of discrete multivariate probability distributions on a finite support of non-negative integers. It...

negative binomial distribution Extended negative binomial distribution Negative multinomial distribution Binomial distribution Poisson distribution Compound...

multinomial distribution, the negative multinomial distribution, the multivariate hypergeometric distribution, and the elliptical distribution. Bayesian...

t-distribution. The negative multinomial distribution, a generalization of the negative binomial distribution. The Dirichlet negative multinomial distribution...

Dirichlet-multinomial distribution as the binomial and beta distributions are univariate versions of the multinomial and Dirichlet distributions respectively...

discrete compound Poisson distribution can be deduced from the limiting distribution of univariate multinomial distribution. It is also a special case...

{\displaystyle \beta } red balls are observed. Negative binomial distribution Dirichlet negative multinomial distribution Johnson et al. (1993) Johnson, N.L.; Kotz...

of the categorical distribution and multinomial distribution. The infinite-dimensional generalization of the Dirichlet distribution is the Dirichlet process...

binomial theorem from binomials to multinomials. For any positive integer m and any non-negative integer n, the multinomial theorem describes how a sum with...

formulation of the multinomial logit model — common in discrete choice theory — the errors of the latent variables follow a Gumbel distribution. This is useful...

distribution and multinomial distribution; generalization of the beta distribution Wishart distribution, for a symmetric non-negative definite matrix;...

_{k+1}>q_{1}+\ldots +q_{k}} . The inverted Dirichlet distribution is conjugate to the negative multinomial distribution if a generalized form of odds ratio is used...

Bernoulli distributions in exactly the same way as the Dirichlet distribution is conjugate to the multinomial distribution and categorical distribution. The...

showed that the chi-squared distribution arose from such a multivariate normal approximation to the multinomial distribution, taking careful account of...

the game. Noncentral hypergeometric distributions Negative hypergeometric distribution Multinomial distribution Sampling (statistics) Generalized hypergeometric...

political, and economic contexts. The Boltzmann distribution has the same form as the multinomial logit model. As a discrete choice model, this is very...

{\displaystyle \ F(\ x;\ -\ln \sigma ,\ {\tfrac {\ 1\ }{\alpha }},\ 0\ )~.} Multinomial logit models, and certain other types of logistic regression, can be...

Dirichlet-multinomial distribution. Compounding a Poisson distribution with rate parameter distributed according to a gamma distribution yields a negative binomial...

Poisson, Bernoulli, and (for fixed number of trials) binomial, multinomial, and negative binomial. For scalar y {\displaystyle \mathbf {y} } and θ {\displaystyle...

Nearest-neighbor chain algorithm Negative binomial distribution Negative multinomial distribution Negative predictive value Negative relationship Negentropy Neighbourhood...

distributed. It is also known as the logistic normal distribution, which often refers to a multinomial logit version (e.g.). A variable might be modeled...

Mathematics portal Logistic regression Multinomial distribution Negative binomial distribution Beta-binomial distribution Binomial measure, an example of a...

which multinomial logit and nested logit belong Conditional probit - Allows full covariance among alternatives using a joint normal distribution. Mixed...

statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional...

In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more...

dog, lion, etc.), and the binary logistic regression generalized to multinomial logistic regression. If the multiple categories are ordered, one can...

representation of an integer Mahler's theorem Multinomial distribution Multinomial coefficient, Multinomial formula, Multinomial theorem Multiplicities of entries...