Characterizations of the Proportional (Reversed) Hazard Model

DOI10.1081/STA-200039053zbMath1087.62018MaRDI QIDQ5290402

Rameshwar D. Gupta, Debasis Kundu

Publication date: 28 April 2006

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

zbMATH Keywords

Conditional varianceConditional expectationExponentiated Weibull distributionRecurrence relation

Mathematics Subject Classification ID

Characterization and structure theory of statistical distributions (62E10) Survival analysis and censored data (62N99) Reliability and life testing (62N05)

Related Items (10)

My musings on a pioneering work of Erich Lehmann and its rediscoveries on some families of distributions ⋮ Multivariate distributions with proportional reversed hazard marginals ⋮ Proportional reversed hazard rate model and its applications ⋮ The exponentiated Weibull distribution: a survey ⋮ On the hazard rate and reversed hazard rate orderings in two-component series systems with active redundancies ⋮ Two-sample nonparametric test for proportional reversed hazards ⋮ Analysis of left censored data from the generalized exponential distribution ⋮ Bivariate Reversed Hazard Rate, Notions, and Measures of Dependence and their Relationships ⋮ Generalized Linear Failure Rate Distribution ⋮ Exponentiated Teissier distribution with increasing, decreasing and bathtub hazard functions

Cites Work

• The Exponentiated Weibull Family: A Reanalysis of the Bus-Motor-Failure Data
• Exponentiated Weibull family for analyzing bathtub failure-rate data
• Modeling failure time data by lehman alternatives

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