| dbo:abstract |
In probability theory and statistics, the Conway–Maxwell–Poisson (CMP or COM–Poisson) distribution is a discrete probability distribution named after Richard W. Conway, William L. Maxwell, and Siméon Denis Poisson that generalizes the Poisson distribution by adding a parameter to model overdispersion and underdispersion. It is a member of the exponential family, has the Poisson distribution and geometric distribution as special cases and the Bernoulli distribution as a limiting case. (en) En théorie des probabilités et en statistique, la loi de Conway-Maxwell-Poisson est une loi de probabilité discrète nommée d'après , et Siméon Denis Poisson. Cette loi, notée CMP ou COM-Poisson, généralise la loi de Poisson en ajoutant un paramètre pour modéliser la sur-dispersion statistique et la sous-dispersion statistique. Elle est une loi de la famille exponentielle. La loi géométrique en est également un cas particulier et la loi de Bernoulli est son cas limite. (fr) |
| dbo:thumbnail |
wiki-commons:Special:FilePath/CMP_PMF.png?width=300 |
| dbo:wikiPageExternalLink |
http://alumni.media.mit.edu/~tpminka/software/compoisson https://cran.r-project.org/web/packages/compoisson/index.html |
| dbo:wikiPageID |
15845763 (xsd:integer) |
| dbo:wikiPageLength |
23427 (xsd:nonNegativeInteger) |
| dbo:wikiPageRevisionID |
1115619848 (xsd:integer) |
| dbo:wikiPageWikiLink |
dbr:Normalization_constant dbr:Bernoulli_distribution dbc:Poisson_distribution dbr:Variance dbc:Discrete_distributions dbr:Mean dbr:Median dbr:Generalized_linear_model dbr:Geometric_distribution dbr:Poisson_regression dbr:William_L._Maxwell dbr:Generalized_hypergeometric_function dbr:Mode_(statistics) dbr:Moment_(mathematics) dbr:Conway–Maxwell–binomial_distribution dbr:Homoscedasticity dbr:Likelihood_function dbr:Limiting_case_(mathematics) dbr:Siméon_Denis_Poisson dbr:Statistics dbr:Coefficients dbr:Logistic_regression dbr:Cumulative_distribution_function dbr:Excess_kurtosis dbr:Exponential_family dbr:Non-informative_prior dbr:Probability_theory dbr:Asymptotic_expansion dbr:Poisson_distribution dbr:Special_case dbr:WinBugs dbr:Newton's_method dbr:Markov_chain_Monte_Carlo dbr:Maximum_likelihood dbr:Probability_mass_function dbr:Skewness dbr:Weighted_least_squares dbr:Discrete_probability_distribution dbr:Overdispersion dbr:Modified_Bessel_function dbr:Richard_W._Conway dbr:Statistical_hypothesis_test dbr:Falling_factorial dbr:Queueing_system dbr:Relative_frequencies dbr:Probability_generating_function dbr:Underdispersion dbr:Cumulant_generating_function dbr:Cumulants dbr:File:CMP_CDF.png dbr:File:CMP_PMF.png |
| dbp:cdfImage |
300 (xsd:integer) |
| dbp:entropy |
Not listed (en) |
| dbp:kurtosis |
Not listed (en) |
| dbp:median |
No closed form (en) |
| dbp:mode |
See text (en) |
| dbp:name |
Conway–Maxwell–Poisson (en) |
| dbp:pdfImage |
300 (xsd:integer) |
| dbp:skewness |
Not listed (en) |
| dbp:type |
mass (en) |
| dbp:wikiPageUsesTemplate |
dbt:ProbDistributions dbt:Short_description dbt:Infobox_probability_distribution |
| dct:subject |
dbc:Poisson_distribution dbc:Discrete_distributions |
| rdf:type |
yago:Abstraction100002137 yago:Act100030358 yago:Activity100407535 yago:Arrangement105726596 yago:Cognition100023271 yago:Distribution105729036 yago:Event100029378 yago:Procedure101023820 yago:PsychologicalFeature100023100 yago:YagoPermanentlyLocatedEntity yago:Structure105726345 yago:WikicatDiscreteDistributions yago:WikicatPoissonProcesses yago:WikicatProbabilityDistributions |
| rdfs:comment |
In probability theory and statistics, the Conway–Maxwell–Poisson (CMP or COM–Poisson) distribution is a discrete probability distribution named after Richard W. Conway, William L. Maxwell, and Siméon Denis Poisson that generalizes the Poisson distribution by adding a parameter to model overdispersion and underdispersion. It is a member of the exponential family, has the Poisson distribution and geometric distribution as special cases and the Bernoulli distribution as a limiting case. (en) En théorie des probabilités et en statistique, la loi de Conway-Maxwell-Poisson est une loi de probabilité discrète nommée d'après , et Siméon Denis Poisson. Cette loi, notée CMP ou COM-Poisson, généralise la loi de Poisson en ajoutant un paramètre pour modéliser la sur-dispersion statistique et la sous-dispersion statistique. Elle est une loi de la famille exponentielle. La loi géométrique en est également un cas particulier et la loi de Bernoulli est son cas limite. (fr) |
| rdfs:label |
Conway–Maxwell–Poisson distribution (en) Loi de Conway-Maxwell-Poisson (fr) |
| owl:sameAs |
freebase:Conway–Maxwell–Poisson distribution wikidata:Conway–Maxwell–Poisson distribution dbpedia-fr:Conway–Maxwell–Poisson distribution https://global.dbpedia.org/id/2zxq5 |
| prov:wasDerivedFrom |
wikipedia-en:Conway–Maxwell–Poisson_distribution?oldid=1115619848&ns=0 |
| foaf:depiction |
wiki-commons:Special:FilePath/CMP_PMF.png wiki-commons:Special:FilePath/CMP_CDF.png |
| foaf:isPrimaryTopicOf |
wikipedia-en:Conway–Maxwell–Poisson_distribution |
| is dbo:knownFor of |
dbr:Siméon_Denis_Poisson |
| is dbo:wikiPageRedirects of |
dbr:Conway-Maxwell-Poisson_distribution dbr:COM-Poisson dbr:CMP_distribution |
| is dbo:wikiPageWikiLink of |
dbr:List_of_probability_distributions dbr:Conway–Maxwell–binomial_distribution dbr:Siméon_Denis_Poisson dbr:Kimberly_Sellers dbr:Poisson_distribution dbr:Conway-Maxwell-Poisson_distribution dbr:COM-Poisson dbr:List_of_statistics_articles dbr:List_of_things_named_after_Siméon_Denis_Poisson dbr:Poisson-type_random_measure dbr:Richard_W._Conway dbr:CMP_distribution |
| is dbp:knownFor of |
dbr:Siméon_Denis_Poisson |
| is foaf:primaryTopic of |
wikipedia-en:Conway–Maxwell–Poisson_distribution |
