The Cambanis family of bivariate distributions: Properties and applications

IF 1.6 Q1 STATISTICS & PROBABILITY Statistica Pub Date : 2016-06-30 DOI:10.6092/ISSN.1973-2201/6159
N. Nair, Johny Scaria, Sithara Mohan.
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引用次数: 8

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.
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双变量分布的Cambanis族:性质和应用
作为Farlie-Gumbel-Morgenstern系统的推广,引入了Cambanis族二元分布。本研究旨在探讨该家族的分布特征及其应用。我们推导了各种关联系数,依赖概念和时间相关度量。分析了危害率和平均剩余寿命函数等双变量可靠性函数。本文还论证了家庭作为二元寿命数据模型的应用。
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来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
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