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Identification of Failure Rates

Identification of failure rates
Authors: Paduthol Godan Sankaran; R. P. Gupta; R.D. Gupta;

Identification of Failure Rates

Abstract

In this paper, we give an identity based on conditional mean to determine the failure rate of a distribution. Some well-known characterizations are deduced as special cases. We also present various applications of the identity. By extending this to the bivariate case, we obtain a class of distributions with a specified form of failure rate. Finally we study the properties and the applications of the bivariate model.

Keywords

Reliability and life testing, Characterization and structure theory of statistical distributions, reliability analysis, Characterization and structure theory for multivariate probability distributions; copulas, conditional mean, bivariate distribution

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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