Title: The Cambanis family of bivariate distributions: Properties and applications
Abstract:The Cambanis family of bivariate distributions was introduced as a generalization of the Farlie-Gumbel-Morgenstern system. The present work is an attempt to investigate the distributional characterist...The Cambanis family of bivariate distributions was introduced as a generalization of the Farlie-Gumbel-Morgenstern system. The present work is an attempt to investigate the distributional characteristics and applications of the family. We derive various coecients of association, dependence concepts and time-dependent measures. Bivariate reliability functions such as hazard rates and mean residual life functions are analysed. The application of the family as a model for bivariate lifetime data is also demonstrated.Read More
Publication Year: 2016
Publication Date: 2016-06-01
Language: en
Type: article
Indexed In: ['doaj']
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Cited By Count: 8
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