On estimation of stress–strength parameter using record values from proportional hazard rate models

DOI10.1080/03610926.2014.948727zbMath1348.62061OpenAlexW2500957752MaRDI QIDQ2830791

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Publication date: 31 October 2016

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

Full work available at URL: https://doi.org/10.1080/03610926.2014.948727

zbMATH Keywords

record valuesmaximum likelihood estimatoruniformly minimum variance unbiased estimatorBayesian estimationbootstrap confidence intervalproportional hazard rate model

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Bootstrap, jackknife and other resampling methods (62F40) Reliability and life testing (62N05)

Related Items (8)

Multicomponent stress-strength reliability based on a right long-tailed distribution ⋮ Shrinkage estimators of the reliability characteristics of a family of lifetime distributions based on records ⋮ E-Bayesian estimation of the exponentiated distribution family parameter under LINEX loss function ⋮ The mean remaining strength of parallel systems in a stress-strength model based on exponential distribution ⋮ E-Bayesian estimation for the proportional hazard rate model based on record values ⋮ Estimation of the stress–strength reliability using lower record ranked set sampling scheme under the generalized exponential distribution ⋮ Stress–strength reliability estimation of a consecutive k-out-of-n system based on proportional hazard rate family ⋮ Estimation of Stress-Strength Reliability for the Pareto Distribution Based on Upper Record Values

Cites Work

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• Estimation ofP(X>Y) with Topp–Leone distribution
• Estimation of Pr(X < Y) Using Record Values in the One and Two Parameter Exponential Distributions
• Estimation ofP(Y < X) for the Three-Parameter Generalized Exponential Distribution

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