About: Generalized multivariate log-gamma distribution

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In probability theory and statistics, the generalized multivariate log-gamma (G-MVLG) distribution is a multivariate distribution introduced by Demirhan and Hamurkaroglu in 2011. The G-MVLG is a flexible distribution. Skewness and kurtosis are well controlled by the parameters of the distribution. This enables one to control dispersion of the distribution. Because of this property, the distribution is effectively used as a joint prior distribution in Bayesian analysis, especially when the likelihood is not from the location-scale family of distributions such as normal distribution.

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rdf:type	software yago:WikicatContinuousDistributions yago:WikicatMultivariateContinuousDistributions yago:Abstraction100002137 yago:Arrangement105726596 yago:Cognition100023271 yago:Distribution105729036 yago:PsychologicalFeature100023100 yago:Structure105726345 yago:WikicatProbabilityDistributions
rdfs:label	Generalized multivariate log-gamma distribution (en) Distribuição log-gama multivariada generalizada (pt)
rdfs:comment	In probability theory and statistics, the generalized multivariate log-gamma (G-MVLG) distribution is a multivariate distribution introduced by Demirhan and Hamurkaroglu in 2011. The G-MVLG is a flexible distribution. Skewness and kurtosis are well controlled by the parameters of the distribution. This enables one to control dispersion of the distribution. Because of this property, the distribution is effectively used as a joint prior distribution in Bayesian analysis, especially when the likelihood is not from the location-scale family of distributions such as normal distribution. (en) Na teoria da probabilidade e estatística, a distribuição log-gama multivariada generalizada (G-MVLG) é uma distribuição multivariada introduzidas pela Demirhan e Hamurkaroglu em 2011. O G-MVLG é uma distribuição flexível. A assimetria e curtose são bem controladas pelos parâmetros da distribuição. Isso permite que uma controle a dispersão da distribuição. Devido a esta propriedade, a distribuição é usada efetivamente como um conjunto prévio de distribuição na análise Bayesiana, especialmente quando a probabilidade não é a localização-escala da família de distribuições, tais como a distribuição normal. (pt)
dcterms:subject	Continuous distributions Multivariate continuous distributions
Wikipage page ID	36849166 (xsd:integer)
Wikipage revision ID	753901288 (xsd:integer)
Link from a Wikipage to another Wikipage	Determinant Kurtosis Correlation Likelihood Statistics Trigamma function Absolute value Normal distribution Probability density function Statistical dispersion Probability theory Risk analysis Continuous distributions Multivariate continuous distributions Digamma function Skewness Location-scale family Gumbel distribution Type I extreme value distribution Bayesian analysis Prior distribution Moment generating function Multivariate distribution
sameAs	Generalized multivariate log-gamma distribution Generalized multivariate log-gamma distribution Generalized multivariate log-gamma distribution Generalized multivariate log-gamma distribution Generalized multivariate log-gamma distribution
dbp:wikiPageUsesTemplate	dbt:ProbDistributions dbt:Reflist
has abstract	In probability theory and statistics, the generalized multivariate log-gamma (G-MVLG) distribution is a multivariate distribution introduced by Demirhan and Hamurkaroglu in 2011. The G-MVLG is a flexible distribution. Skewness and kurtosis are well controlled by the parameters of the distribution. This enables one to control dispersion of the distribution. Because of this property, the distribution is effectively used as a joint prior distribution in Bayesian analysis, especially when the likelihood is not from the location-scale family of distributions such as normal distribution. (en) Na teoria da probabilidade e estatística, a distribuição log-gama multivariada generalizada (G-MVLG) é uma distribuição multivariada introduzidas pela Demirhan e Hamurkaroglu em 2011. O G-MVLG é uma distribuição flexível. A assimetria e curtose são bem controladas pelos parâmetros da distribuição. Isso permite que uma controle a dispersão da distribuição. Devido a esta propriedade, a distribuição é usada efetivamente como um conjunto prévio de distribuição na análise Bayesiana, especialmente quando a probabilidade não é a localização-escala da família de distribuições, tais como a distribuição normal. (pt)
gold:hypernym	Distribution
prov:wasDerivedFrom	wikipedia-en:Generalized_multivariate_log-gamma_distribution?oldid=753901288&ns=0
page length (characters) of wiki page	4785 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Generalized_multivariate_log-gamma_distribution
is Link from a Wikipage to another Wikipage of	List of probability distributions Gumbel distribution List of statistics articles Generalized mulativariate log-gamma distribution
is Wikipage redirect of	Generalized mulativariate log-gamma distribution
is foaf:primaryTopic of	wikipedia-en:Generalized_multivariate_log-gamma_distribution

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