Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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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)
  • Published : 2006.04.01
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Abstract

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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References

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