SciELO - Scientific Electronic Library Online

 
vol.34 número3An Application of Semi-Markovian Models to the Ruin ProblemEstimating the Discounted Warranty Cost of a Minimally Repaired Coherent System índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Revista Colombiana de Estadística

versão impressa ISSN 0120-1751

Resumo

BRAN-CARDONA, PAULA ANDREA; OROZCO-CASTANEDA, JOHANNA MARCELA  e  NAGAR, DAYA KRISHNA. Bivariate Generalization of the Kummer-Beta Distribution. Rev.Colomb.Estad. [online]. 2011, vol.34, n.3, pp.497-512. ISSN 0120-1751.

In this article, we study several properties such as marginal and conditional distributions, joint moments, and mixture representation of the bivariate generalization of the Kummer-Beta distribution. To show the behavior of the density function, we give some graphs of the density for different values of the parameters. Finally, we derive the exact and approximate distribution of the product of two random variables which are distributed jointly as bivariate Kummer-Beta. The exact distribution of the product is derived as an infinite series involving Gauss hypergeometric function, whereas the beta distribution has been used as an approximate distribution. Further, to show the closeness of the approximation, we have compared the exact distribution and the approximate distribution by using several graphs. An application of the results derived in this article is provided to visibility data from Colombia.

Palavras-chave : Beta distribution; Bivariate distribution; Dirichlet distribution; Hypergeometric function; Moments; Transformation.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons