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- name =Normal-Exponential-Gamma| ...tribution''' (sometimes called the NEG distribution) is a three-parameter family of continuous [[probability distribution]]s. It has a [[location parameter] ...3 KB (343 words) - 16:07, 18 February 2020
- The '''Mittag-Leffler distributions''' are two families of [[probability distributions]] on the half-line <math>[0,\infty)</math>. They are parametrized by a real ==First family of Mittag-Leffler distributions== ...5 KB (635 words) - 14:20, 22 August 2023
- ...first member of this family is the [[Kaniadakis Exponential distribution|κ-exponential distribution]] of Type I. The κ-Erlang is a κ-deformed version of the [[Erl ...al |last=Kaniadakis |first=G. |date=2021-01-01 |title=New power-law tailed distributions emerging in κ-statistics (a) |url=https://iopscience.iop.org/article/10.120 ...7 KB (940 words) - 10:25, 18 November 2023
- | name = Marshall–Olkin exponential ...irst2= Ingram|last2= Olkin|author2-link=Ingram Olkin| title=A multivariate exponential distribution|journal=[[Journal of the American Statistical Association]] |v ...3 KB (396 words) - 22:29, 20 January 2024
- ...four-parameter family of [[Probability distribution|continuous statistical distributions]], supported on a semi-infinite interval [0,∞), which arising from the [[Ka ...al |last=Kaniadakis |first=G. |date=2021-01-01 |title=New power-law tailed distributions emerging in κ-statistics (a) |url=https://iopscience.iop.org/article/10.120 ...8 KB (1,082 words) - 10:26, 18 November 2023
- ...imum entropy probability distribution|maximum entropy]] procedure, the [[q-exponential distribution]] is derived. ..., [[astronomy]], [[economics]], [[finance]], and [[machine learning]]. The distributions are often used for their [[heavy tails]]. ...4 KB (519 words) - 17:25, 6 February 2023
- ...−''μ''/2</sup> at zero; thus it is a mixture of discrete and continuous distributions [[Category:Continuous distributions]] ...2 KB (281 words) - 06:58, 22 October 2017
- ...rst3=L. C. |date=2003 |title=''q''-exponential, Weibull, and ''q''-Weibull distributions: an empirical analysis |arxiv=cond-mat/0301552 |journal= Physica A: Statist ...te journal |last=Naudts |first=Jan |date=2010 |title=The ''q''-exponential family in statistical physics |journal= Journal of Physics: Conference Series|volu ...6 KB (784 words) - 16:44, 21 October 2021
- ...docs/python/tfp/edward2/ContinuousBernoulli |date=2020-11-25 }}</ref> is a family of continuous [[probability distribution]]s parameterized by a single [[sh The continuous Bernoulli also defines an [[exponential family]] of distributions. Writing <math>\eta = \log\left(\lambda/(1-\lambda)\right)</math> for the [ ...7 KB (947 words) - 10:01, 16 October 2024
- ...nd Srivastava (1993) as an extension of the [[Weibull distribution|Weibull family]] obtained by adding a second [[shape parameter]]. * ''k'' = 1 gives the '''exponentiated exponential distribution'''. ...6 KB (726 words) - 05:16, 14 December 2020
- {{Short description|Family of lifetime distributions with decreasing failure rate}} | name = Exponential-Logarithmic distribution (EL) ...7 KB (1,158 words) - 02:36, 6 April 2024
- ...tion''' (or '''Gaussian-inverse-gamma distribution''') is a four-parameter family of multivariate continuous [[probability distribution]]s. It is the [[conju ===Marginal distributions=== ...12 KB (1,577 words) - 16:49, 7 January 2024
- ...distributions.jpg|thumb|Relationships among some of univariate probability distributions are illustrated with connected lines. dashed lines means approximate relati ...pages=2719–21 | title=ProbOnto: ontology and knowledge base of probability distributions | year=2016 | journal=Bioinformatics | last1 = Swat | first1 = MJ | last2 = ...21 KB (3,016 words) - 10:24, 10 September 2024
- ...en the posterior predictive distribution will belong to the same family of distributions as the prior predictive distribution. This is easy to see. If the prior d ...arameterization than the one that would be most natural for the predictive distributions in the current problem at hand. Often this results because the prior distr ...16 KB (2,388 words) - 18:47, 24 February 2024
- ...journal |last=Willmot |first=Gord |date=1986 |title=Mixed Compound Poisson Distributions |journal=ASTIN Bulletin |language=en |volume=16 |issue=S1 |pages=S59–S79 |d ...l |last=Willmot |first=Gord |date=2014-08-29 |title=Mixed Compound Poisson Distributions |journal=Astin Bulletin |volume=16 |pages=5–7 |doi=10.1017/S051503610001165 ...10 KB (1,303 words) - 05:53, 23 February 2025
- The authors went on to use these distributions in the context of three different applications in medical science. [[Category:Multivariate continuous distributions]] ...4 KB (595 words) - 14:44, 6 January 2024
- ...ommonly used for parametric models in [[survival analysis]] (such as the [[exponential distribution]], the [[Weibull distribution]] and the [[gamma distribution]] ==Related distributions == ...8 KB (1,169 words) - 17:43, 7 November 2024
- ...al |last=Kaniadakis |first=G. |date=2021-01-01 |title=New power-law tailed distributions emerging in κ-statistics (a) |url=https://iopscience.iop.org/article/10.120 ==Related distributions== ...8 KB (975 words) - 16:09, 26 October 2024
- ...Kaniadakis Gamma distribution|''κ''-Gamma distribution]], whilst the ''κ''-exponential distribution of Type II is a particular case of the [[Kaniadakis Weibull di | name = ''κ''-exponential distribution of type I ...16 KB (2,129 words) - 19:30, 10 January 2025
- {{Short description|Family of probability distributions}} ...obability]] and [[statistics]], the '''Gaussian ''q''-distribution''' is a family of [[probability distribution]]s that includes, as [[limiting case (mathema ...5 KB (682 words) - 07:47, 9 April 2023