the cambanis family of bivariate distributions: properties and applications

Clicks: 44
ID: 144220
2016
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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 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.
Reference Key
nair2016statisticathe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;N. Unnikrishnan Nair;Johny Scaria;Sithara Mohan
Journal advances in mathematical physics
Year 2016
DOI
10.6092/issn.1973-2201/6159
URL
https://rivista-statistica.unibo.it/article/view/6159
Keywords
series and parallel systemsstatistics

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