Search results for "Generalized integer gamma distribution"

showing 3 items of 3 documents

A characterization of the distribution of a weighted sum of gamma variables through multiple hypergeometric functions

2008

Applying the theory on multiple hypergeometric functions, the distribution of a weighted convolution of Gamma variables is characterized through explicit forms for the probability density function, the distribution function and the moments about the origin. The main results unify some previous contributions in the literature on nite convolution of Gamma distributions. We deal with computational aspects that arise from the representations in terms of multiple hypergeometric functions, introducing a new integral representation for the fourth Lauricella function F (n) D and its con uent form (n) 2 , suitable for numerical integration; some graphics of the probability density function and distr…

Lauricella functionConfluent hypergeometric functionmultiple numerical integration.Applied MathematicsGeneralized gamma distributionMathematical analysisdouble Dirichlet averagecon uent hypergeometric functionMoment-generating functionConvolution of probability distributionsGeneralized hypergeometric functionWeighted Gamma ConvolutionDirichlet averageGeneralized integer gamma distributionApplied mathematicsSettore SECS-S/01 - StatisticaIncomplete gamma functionAnalysisInverse-gamma distributionMathematicsIntegral Transforms and Special Functions
researchProduct

Moments for Some Kumaraswamy Generalized Distributions

2014

Explicit expansions for the moments of some Kumaraswamy generalized (Kw-G) distributions (Cordeiro and de Castro, 2011) are derived using special functions. We explore the Kw-normal, Kw-gamma, Kw-beta, Kw-t, and Kw-F distributions. These expressions are given as infinite weighted linear combinations of well-known special functions for which numerical routines are readily available.

Statistics and ProbabilityNormal distributionSpecial functionsMathematical analysisGeneralized gamma distributionGeneralized beta distributionGeneralized integer gamma distributionLinear combinationInverse distributionVariance-gamma distributionMathematicsCommunications in Statistics - Theory and Methods
researchProduct

Second-order interaction in a Trivariate Generalized Gamma Distribution

2004

The concept of second- (and higher-) order interaction is widely used in categorical data analysis, where it proves useful for explaining the interdependence among three (or more) variables. Its use seems to be less common for continuous multivariate distributions, most likely owing to the predominant role of the Multivariate Normal distribution, for which any interaction involving more than two variables is necessarily zero. In this paper we explore the usefulness of a second-order interaction measure for studying the interdependence among three continuous random variables, by applying it to a trivariate Generalized Gamma distribution proposed by Bologna(2000).

Multivariate statisticsInteractionJoint probability distributionStatisticsGeneralized gamma distributionGeneralized integer gamma distributionMultivariate normal distributionStatisticalClassificationRandom variableMeasure (mathematics)Zero (linguistics)Mathematics
researchProduct