Reliability analysis of Birnbaum–Saunders model based on progressive type-II censoring

DOI10.1080/00949655.2018.1555251OpenAlexW2904331817WikidataQ128892934 ScholiaQ128892934MaRDI QIDQ5107334

Yan Zaizai, Xiao Yan, Peng Xiuyun

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2018.1555251

zbMATH Keywords

reliabilityprogressive type-II censoringBirnbaum-Saunders distributionMCMC technique

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Estimation based on ranked set sampling for the two-parameter Birnbaum–Saunders distribution ⋮ E-Bayesian estimations for the cumulative hazard rate and mean residual life based on exponential distribution and record data

Cites Work

• Unnamed Item
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• Testing hypotheses in the Birnbaum-Saunders distribution under type-II censored samples
• Point and interval estimation for the two-parameter Birnbaum-Saunders distribution based on type-II censored samples
• On Birnbaum-Saunders inference
• A new two-parameter lifetime distribution with bathtub shape or increasing failure rate function
• A length-biased version of the Birnbaum-Saunders distribution with application in water quality
• Inference and optimal censoring schemes for progressively censored Birnbaum-Saunders distribution
• Progressive censoring methodology: an appraisal (with comments and rejoinder)
• Inferences for the Birnbaum-Saunders fatigue life model using Bayesian methods
• Stress-Strength Reliability of a Two-Parameter Bathtub-shaped Lifetime Distribution Based on Progressively Censored Samples
• Reliability estimation in stress–strength models: an MCMC approach
• Estimation ofP(Y<X) for Weibull Distribution Under Progressive Type-II Censoring
• On the existence and uniqueness of the maximum likelihood estimates of the parameters of Birnbaum–Saunders distribution based on Type-I, Type-II and hybrid censored samples
• Stress−strength reliability with general form distributions
• Full posterior analysis of three parameter lognormal distribution using gibbs sampler
• On estimation ofR=P(Y<X) for exponential distribution under progressive type-II censoring
• Modeling wind energy flux by a Birnbaum–Saunders distribution with an unknown shift parameter
• Estimation of δ=P(X<Y) for Burr XII distribution based on the progressively first failure-censored samples
• Classical and Bayesian estimation ofP(Y<X) for Kumaraswamy's distribution
• Statistical inferences for stress–strength in the proportional hazard models based on progressive Type-II censored samples
• Fiducial inference for Birnbaum-Saunders distribution
• Comparison of Different Estimators ofP [Y < X for a Scaled Burr Type X Distribution]
• A new family of life distributions
• Estimation for a family of life distributions with applications to fatigue

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