About: Conway–Maxwell–binomial distribution

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In probability theory and statistics, the Conway–Maxwell–binomial (CMB) distribution is a three parameter discrete probability distribution that generalises the binomial distribution in an analogous manner to the way that the Conway–Maxwell–Poisson distribution generalises the Poisson distribution. The CMB distribution can be used to model both positive and negative association among the Bernoulli summands,. The distribution was introduced by Shumeli et al. (2005), and the name Conway–Maxwell–binomial distribution was introduced independently by Kadane (2016) and Daly and Gaunt (2016).

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rdfs:label	Conway–Maxwell–binomial distribution (en)
rdfs:comment	In probability theory and statistics, the Conway–Maxwell–binomial (CMB) distribution is a three parameter discrete probability distribution that generalises the binomial distribution in an analogous manner to the way that the Conway–Maxwell–Poisson distribution generalises the Poisson distribution. The CMB distribution can be used to model both positive and negative association among the Bernoulli summands,. The distribution was introduced by Shumeli et al. (2005), and the name Conway–Maxwell–binomial distribution was introduced independently by Kadane (2016) and Daly and Gaunt (2016). (en)
dbp:wikiPageUsesTemplate	dbt:Infobox_probability_distribution
Subject	Discrete distributions
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/Conway–Maxwell–binomial_distribution?oldid=849587699&ns=0
Wikipage page ID	55929626 (xsd:integer)
page length (characters) of wiki page	7551 (xsd:nonNegativeInteger)
Wikipage revision ID	849587699 (xsd:integer)
Link from a Wikipage to another Wikipage	Formula Normalizing constant Probability-generating function Probability mass function Probability theory Bernoulli distribution Binomial distribution Statistics Discrete distributions Distribution (mathematics) Characteristic function Convergence of random variables Conway–Maxwell–Poisson distribution Dependent and independent variables Exchangeable random variables Falling and rising factorials Integer Joint probability distribution Mode (statistics) Moment-generating function Moment (mathematics) Poisson binomial distribution Poisson distribution Random variable
has abstract	In probability theory and statistics, the Conway–Maxwell–binomial (CMB) distribution is a three parameter discrete probability distribution that generalises the binomial distribution in an analogous manner to the way that the Conway–Maxwell–Poisson distribution generalises the Poisson distribution. The CMB distribution can be used to model both positive and negative association among the Bernoulli summands,. The distribution was introduced by Shumeli et al. (2005), and the name Conway–Maxwell–binomial distribution was introduced independently by Kadane (2016) and Daly and Gaunt (2016). (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/Conway–Maxwell–binomial_distribution
is Wikipage redirect of	Conway-Maxwell-binomial distribution
is Link from a Wikipage to another Wikipage of	Conway-Maxwell-binomial distribution Conway–Maxwell–Poisson distribution
is foaf:primaryTopic of	http://en.wikipedia.org/wiki/Conway–Maxwell–binomial_distribution

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