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Reliability analysis based on progressively first-failure-censored samples for the proportional hazard rate model

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  • Wang, Liang
  • Shi, Yimin

Abstract

Based on a new life test plan called a progressive first-failure-censoring scheme, the estimation problem of the reliability performances is considered for a semi-parameter class of distributions by using Bayes and non-Bayes methods. In order to investigate the accuracy of estimation, an illustrative example is examined numerically by means of Monte-Carlo simulation.

Suggested Citation

  • Wang, Liang & Shi, Yimin, 2012. "Reliability analysis based on progressively first-failure-censored samples for the proportional hazard rate model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(8), pages 1383-1395.
    • Handle: RePEc:eee:matcom:v:82:y:2012:i:8:p:1383-1395
    DOI: 10.1016/j.matcom.2011.12.004
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    1. Wu, Shuo-Jye & Kus, Coskun, 2009. "On estimation based on progressive first-failure-censored sampling," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3659-3670, August.
    2. Li, Xiuchun & Shi, Yimin & Wei, Jieqiong & Chai, Jian, 2007. "Empirical Bayes estimators of reliability performances using LINEX loss under progressively Type-II censored samples," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 73(5), pages 320-326.
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    Cited by:

    1. Essam A. Ahmed, 2017. "Estimation and prediction for the generalized inverted exponential distribution based on progressively first-failure-censored data with application," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(9), pages 1576-1608, July.

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