Bayesian Inference of Three-parameter Exponentiated Weibull Distribution Based on Progressive Type-II Censoring

• 발행기관: 한국자료분석학회
• 저자명: Younshik Chung Myoungjin Jung
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.15 No.2, 585~591쪽, 전체 7쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2013.04.30

영문 초록

Three-parameter exponentiated weibull distribution introduced by Mudholkar, Srivastava (1993) is a more realistic model for an analysis of life time test than the model with monotone failure rates. We consider the Bayesian inference of the lifetime models. These problems arise when the machine tool should be replaced or industrial process should be changed in tile field of engineering and the provision of warranty limits for the future performance of a specified number of systems. Based on progressive type-II censored sampling which is an important method of obtaining failure data in lifetime study, Bayesian estimations from the three-parameter exponentiated weibull distributions are studied, using the proper general prior density. A numerical simulate using Monte Carlo method is provided.

목차

1. Introduction

2. Progressive Type-II Censoring And TEW Model

3. Bayesian estimations

4. Simulation Study and Conclusion

References

키워드

Bayes estimation Exponentiated Weibull distribution Monte Carlo method Progressive type-II censored