degenerate distribution
1Degenerate distribution — Degenerate Probability mass function PMF for k0=0. The horizontal axis is the index i of ki. (Note that the function is only defined at integer indices. The connecting lines do not indicate continuity.) Cumulative distribution function …
2degenerate distribution — išsigimęs skirstinys statusas T sritis fizika atitikmenys: angl. degenerate distribution; singular distribution vok. entartete Verteilung, f; singuläre Verteilung, f rus. вырожденное распределение, n pranc. distribution dégénérée, f; répartition… …
3non-degenerate distribution — neišsigimęs pasiskirstymas statusas T sritis fizika atitikmenys: angl. non degenerate distribution vok. nichtentartete Verteilung, f rus. невырожденное распределение, n pranc. distribution non dégénérée, f …
4distribution dégénérée — išsigimęs skirstinys statusas T sritis fizika atitikmenys: angl. degenerate distribution; singular distribution vok. entartete Verteilung, f; singuläre Verteilung, f rus. вырожденное распределение, n pranc. distribution dégénérée, f; répartition… …
5distribution non dégénérée — neišsigimęs pasiskirstymas statusas T sritis fizika atitikmenys: angl. non degenerate distribution vok. nichtentartete Verteilung, f rus. невырожденное распределение, n pranc. distribution non dégénérée, f …
6Uniform distribution (discrete) — discrete uniform Probability mass function n = 5 where n = b − a + 1 Cumulative distribution function …
7Compound Poisson distribution — In probability theory, a compound Poisson distribution is the probability distribution of the sum of a Poisson distributed number of independent identically distributed random variables. In the simplest cases, the result can be either a… …
8Discrete 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… …
9Phase-type distribution — Probability distribution name =Phase type type =density pdf cdf parameters =S,; m imes m subgenerator matrixoldsymbol{alpha}, probability row vector support =x in [0; infty)! pdf =oldsymbol{alpha}e^{xS}oldsymbol{S}^{0} See article for details… …
10Generalized extreme value distribution — Probability distribution name =Generalized extreme value type =density pdf cdf parameters =mu in [ infty,infty] , location (real) sigma in (0,infty] , scale (real) xiin [ infty,infty] , shape (real) support =x>mu sigma/xi,;(xi > 0) x …
