DOI QR코드

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On Estimating Burr Type XII Parameter Based on General Type II Progressive Censoring

  • Kim Chan-Soo (Department of Applied Mathematics, Kongju National University)
  • 발행 : 2006.04.01

초록

This article deals with the problem of estimating parameters of Burr Type XII distribution, on the basis of a general progressive Type II censored sample using Bayesian viewpoints. The maximum likelihood estimator does not admit closed form but explicit sharp lower and upper bounds are provided. Assuming squared error loss and linex loss functions, Bayes estimators of the parameter k, the reliability function, and the failure rate function are obtained in closed form. Finally, a simulation study is also included.

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참고문헌

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피인용 문헌

  1. Predicting observables from Weibull model based on general progressive censored data with asymmetric loss vol.8, pp.5, 2011, https://doi.org/10.1016/j.stamet.2011.05.003