Estimation ofP(Y<X) for Weibull Distribution Under Progressive Type-II Censoring

DOI10.1080/03610926.2011.650265zbMath1282.65017OpenAlexW1999690131MaRDI QIDQ2873946

A. Asgharzadeh, R. Valiollahi, Mohammad Zayed Raqab

Publication date: 28 January 2014

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

Full work available at URL: https://doi.org/10.1080/03610926.2011.650265

zbMATH Keywords

maximum likelihood estimatorBayes estimatorapproximate maximum likelihood estimatorstress-strength modelprogressive type II censoringbootstrap confidence intervalMetropolis-Hasting method

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Monte Carlo methods (65C05)

Related Items (14)

Stress-strength reliability for general bivariate distributions ⋮ Bayesian and classical estimation of R=P(X<Y) based on Burr type XII distribution under hybrid progressive censored samples ⋮ Estimation of stress-strength reliability in the inverse Gaussian distribution under progressively type II censored data ⋮ Estimation of P(Y < X) for progressively first-failure-censored generalized inverted exponential distribution ⋮ Reliability analysis of Birnbaum–Saunders model based on progressive type-II censoring ⋮ Estimation of P(X > Y) for the power Lindley distribution based on progressively type II right censored samples ⋮ Unnamed Item ⋮ Bayesian analysis of head and neck cancer data using generalized inverse Lindley stress–strength reliability model ⋮ A Note on Estimation of Stress-Strength Reliability under Generalized Uniform Distribution when Strength Stochastically Dominates Stress ⋮ Reliability estimation of multicomponent stress-strength model based on copula function under progressively hybrid censoring ⋮ Likelihood and Bayesian estimation of \(P(Y<X)\) using lower record values from a proportional reversed hazard family ⋮ Bayes estimation of \(P(Y < X)\) for the Weibull distribution with arbitrary parameters ⋮ Reliability inference of stress-strength model for the truncated proportional hazard rate distribution under progressively type-II censored samples ⋮ Stress-strength based on \(m\)-generalized order statistics and concomitant for dependent families.

Cites Work

• Estimation of P[ \(Y < X \) for generalized exponential distribution]
• Estimation of \(R=P(Y<X)\) for three-parameter Weibull distribution
• Likelihood and Bayesian estimation of \(\mathrm{Pr}(X \leq Y)\) using lower record values from the generalized exponential distribution
• Estimation of \(P[Y<X\) for generalized Pareto distribution]
• Theoretical comparison of bootstrap confidence intervals
• Empirical Bayes estimation of \(P(Y<X)\) and characterizations of Burr-type \(X\) model
• Estimation of pr (a&rsquo;x&gt;&gt;b&rsquo;y) in the mnltiyariate normal case
• Hybrid censoring schemes with exponential failure distribution
• ESTIMATIONS OF THE PARAMETERS OF THE WEIBULL DISTRIBUTION WITH PROGRESSIVELY CENSORED DATA
• Comparison of Different Estimators ofP [Y < X for a Scaled Burr Type X Distribution]
• Estimation ofP(Y < X) for the Three-Parameter Generalized Exponential Distribution

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