A Bayesian Shrinkage Approach in Weibull Type -II Censored Data Using Prior Point Information

Authors

  • Gyan Prakash Harish Chandra P. G. College
  • D.C. Singh Harish Chandra P. G. College

DOI:

https://doi.org/10.57805/revstat.v7i2.81

Keywords:

Bayes shrinkage estimator, Uniformly Minimum Variance Unbiased (UMVU) estimator, Minimax estimator and LINEX loss function

Abstract

In the present paper we study the performance of the Bayes Shrinkage estimators for the scale parameter of the Weibull distribution under the squared error loss and the LINEX loss functions in the presence of a prior point information of the scale parameter when Type -II censored data are available. The properties of the minimax estimators are also discussed.

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Published

2009-07-17

How to Cite

Prakash , G., & Singh , D. (2009). A Bayesian Shrinkage Approach in Weibull Type -II Censored Data Using Prior Point Information. REVSTAT-Statistical Journal, 7(2), 171–187. https://doi.org/10.57805/revstat.v7i2.81

Issue

Vol. 7 No. 2 (2009): REVSTAT-Statistical Journal

Section

Article

License

Copyright (c) 2009 REVSTAT-Statistical Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.