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Parameter Estimation In Weibull Distribution On Progressively Type-Ii Censored Sample With Beta-Binomial Removals

Author

Listed:
  • Ilhan Usta
  • Hanefi Gezer

Abstract

In this article, the estimation of parameters based on progressively type-II censored sample with random removals from the Weibull distribution is studied. The number of units removed at each failure time is assumed to follow a Beta-binomial distribution. Based on this type of censored sample, the maximum likelihood (ML) and approximate maximum likelihood (AML) estimators for the parameters of the Weibull distribution are derived. A Monte Carlo simulation study is also conducted to compare the performance of ML and AML estimators under progressively type-II censoring with the different random schemes.

Suggested Citation

  • Ilhan Usta & Hanefi Gezer, 2016. "Parameter Estimation In Weibull Distribution On Progressively Type-Ii Censored Sample With Beta-Binomial Removals," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 10(1), pages 505-515.
    • Handle: RePEc:isp:journl:v:10:y:2016:i:1:p:505-515
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