A new class of bivariate distributions and its mixture

Authors:
Ammar M. Sarhan;N. Balakrishnan
Affiliations:
Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt;Department of Mathematics and Statistics, McMaster University, 1280 Main Street West, Hamilton, Ont., Canada L8S 4K1
Venue:
Journal of Multivariate Analysis
Year:
2007

Citing 1
Cited 6

Discriminating between Weibull and generalized exponential distributions

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Letter to the editor

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Bivariate generalized exponential distribution

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Note: A multivariate extension of Sarhan and Balakrishnan's bivariate distribution and its ageing and dependence properties

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A new skew generalization of the normal distribution: Properties and applications

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The bivariate generalized linear failure rate distribution and its multivariate extension

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On bivariate Weibull-Geometric distribution

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Abstract

A new class of bivariate distributions is presented in this paper. The procedure used in this paper is based on a latent random variable with exponential distribution. The model introduced here is of Marshall-Olkin type. A mixture of the proposed bivariate distributions is also discussed. The results obtained here generalize those of the bivariate exponential distribution present in the literature.