Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/41309
Título: A bivariate generalized geometric distribution with applications
Autores/as: Gómez–Déniz, E. 
Ghitany, M. E.
Ghitany, Ramesh C.
Clasificación UNESCO: 530204 Estadística económica
Palabras clave: Geometric distribution
Joint distributions
Marginal distributions
Marshall and Olkin family of distributions
Overdispersion, et al.
Fecha de publicación: 2017
Publicación seriada: Communications in Statistics - Theory and Methods 
Resumen: This paper proposes a bivariate version of the univariate discrete generalized geometric distribution considered by Gomez-Deniz (2010). The proposed bivariate distribution can have a positive or negative correlation coefficient which can be used for modeling bivariate-dependent count data. After discussing some of its properties, maximum likelihood estimation is discussed. Two illustrative examples are given for fitting and demonstrating the usefulness of the new bivariate distribution proposed here.
URI: http://hdl.handle.net/10553/41309
ISSN: 0361-0926
DOI: 10.1080/03610926.2015.1102285
Fuente: Communications in Statistics - Theory and Methods[ISSN 0361-0926],v. 46, p. 5453-5465
Colección:Artículos
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