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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.9
- 수록면
- 1,197 - 1,205 (9page)
- DOI
- 10.7465/jkdi.2019.30.5.1197
이용수
초록· 키워드
오류제보하기
There are many situation in life testing experiments in which units arc lost or removed from experimentation before failure. In this paper, we propose the estimators of the parameter and reliability function of the ED under MPC scheme. First, we derive the MLE and MPSE for the parameter and reliability function of ED. And we derive the approximate MPSE for the parameter and reliability function of ED using Talyor series expansion. We also compare the proposed estimators in the sense of the root mean squared error (RMSE) and bias under MPC scheme. Finally, the validity of the proposed methods are demonstrated by a real data.
목차
Abstract
1. Introduction
2. Estimation
3. Simulation studies and illustrative example
4. Conclusions
References
참고문헌 (11)
참고문헌 신청
Cheng, R. C. H. / 1983 / Estimating parameters in continuous univariate distributions with a shifted origin / Journal of the Royal Statistical Society B 45:394~403
곽재영 / 2018 / 통일된 복합 중도절단에서 하프 로지스틱 분포의 모수 추정 / 한국데이터정보과학회지 29(1):13~25
이경준 / 2019 / Approximate MPSE of half logistic distribution under progressive censoring / 한국데이터정보과학회지 30(3):703~711
이경준 / 2019 / Approximate Maximum Product Spacings Estimation for the Parameter of a Rayleigh Distribution under Doubly Hybrid Censoring / Journal of The Korean Data Analysis Society 21(3):1121~1129
조영석 / 2017 / Exact Inference for Competing Risks Model with Generalized Progressive Hybrid Censored Exponential Data / Journal of The Korean Data Analysis Society 19(2):565~575
곽재영 / 2018 / 통일된 복합 중도절단에서 하프 로지스틱 분포의 모수 추정 / 한국데이터정보과학회지 29(1):13~25
이경준 / 2019 / Approximate MPSE of half logistic distribution under progressive censoring / 한국데이터정보과학회지 30(3):703~711
이경준 / 2019 / Approximate Maximum Product Spacings Estimation for the Parameter of a Rayleigh Distribution under Doubly Hybrid Censoring / Journal of The Korean Data Analysis Society 21(3):1121~1129
조영석 / 2017 / Exact Inference for Competing Risks Model with Generalized Progressive Hybrid Censored Exponential Data / Journal of The Korean Data Analysis Society 19(2):565~575
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