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2002•JOURNAL OF THE JAPAN STATISTICAL SOCIETYOpen access

A CHARACTERIZATION OF MODEL APPROACH FOR GENERATING BIVARIATE LIFE DISTRIBUTIONS USING REVERSED HAZARD RATES

Dilip Roy

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Abstract

This paper aims at balancing between characterization and modeling approaches for bivariate extensions of univariate life distributions using reversed hazard rates. The proposed model, a characterized one, admits important properties irrespective of the choice of the univariate marginals. The retention of a univariate class property has been ensured along with a result on parallel combination of a bivariate system.

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What this paper is about

This paper aims at balancing between characterization and modeling approaches for bivariate extensions of univariate life distributions using reversed hazard rates. The proposed model, a characterized one, admits important properties irrespective of the choice of the univariate marginals. The retention of a univariate class property has been ensured along with a result on parallel combination of a bivariate system.

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OpenAlex reports 36 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper aims at balancing between characterization and modeling approaches for bivariate extensions of univariate life distributions using reversed hazard rates. The proposed model, a characterized one, admits important properties irrespective of the choice of the univariate marginals. The retention of a univariate class property has been ensured along with a result on parallel combination of a bivariate system.

Key concepts: Univariate, Bivariate analysis, Hazard, Characterization (materials science), Statistics, Mathematics, Class (philosophy), Econometrics

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