지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국통계학회 CSAM(Communications for Statistical Applications and Methods) CSAM(Communications for Statistical Applications and Methods) 제31권 제6호
- 발행연도
- 2024.11
- 수록면
- 661 - 675 (15page)
이용수
초록· 키워드
오류제보하기
The concept of length-biased distribution find various applications in biomedical area such as family history and disease, survival and intermediate events and latency period of AIDS due to blood transfusion. Also, there are many situations in biomedical analysis in which units are removed or lost from experimentation before observed. In this paper, therefore, we consider the maximum likelihood estimator (MLE) and Bayesian estimators of the unknown parameter, reliability and hazard functions of the length biased exponential distribution (LBED) under progressive hybrid censoring (PHC) scheme. We derive the Bayesian estimators of the unknown parameter, reliability and hazard functions based on flexible loss functions. Additionally, we derive the Bayesian estimators using the Lindley’s approximation and Markov chain Mote Carlo (MCMC) methods. In particular, the MCMC method is used to obtain the credible interval. To compare the proposed estimators, the Monte Carlo simulation method is conducted. Finally, the leukemia patients dataset based on PHC scheme is analyzed.
목차
Abstract
1. Introduction
2. Maximum likelihood estimation
3. Bayesian estimation
4. Simulation and example
5. Conclusions
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Bayesian estimation for the exponential distribution based on generalized multiply Type-II hybrid censoring
CSAM(Communications for Statistical Applications and Methods)
2020 .07
-
Exact Inference for Competing Risks Model with Generalized Progressive Hybrid Censored Exponential Data
Journal of The Korean Data Analysis Society
2017 .01
-
Maximum penalized likelihood estimation for a stress-strength reliability model using complete and incomplete data
CSAM(Communications for Statistical Applications and Methods)
2018 .07
-
New approach for analysis of progressive Type-II censored data from the Pareto distribution
CSAM(Communications for Statistical Applications and Methods)
2018 .09
-
Bayesian Inference of the Parameters from the Beta Log-logistic Model based on Progressive Type-II Censoring
Journal of The Korean Data Analysis Society
2018 .01
-
Estimation of half triangle distribution under generalized progressive hybrid censored sample
한국데이터정보과학회지
2018 .05
-
Estimation of the exponentiated half-logistic distribution based on multiply Type-I hybrid censoring
CSAM(Communications for Statistical Applications and Methods)
2020 .01
-
On the maximum likelihood estimators for parameters of a Weibull distribution under random censoring
CSAM(Communications for Statistical Applications and Methods)
2016 .05
-
Estimation of the Exponential Distribution under Generalized Multiply Hybrid Censored Competing Risks Data
Journal of The Korean Data Analysis Society
2019 .01
-
Approximate maximum product spacings estimation of exponential distribution under multiply hybrid censored data
한국데이터정보과학회지
2023 .01
-
Estimation for a half-triangular distribution based on unified hybrid censored sample
한국데이터정보과학회지
2018 .11
-
Estimation for the half-logistic distribution based on generalized progressive hybrid censoring
한국데이터정보과학회지
2018 .07
-
Estimation for the Half-triangle Distribution based on Generalized Adaptive Progressive Hybrid Censored Samples
Journal of The Korean Data Analysis Society
2021 .01
-
On the maximum likelihood estimation for a normal distribution under random censoring
CSAM(Communications for Statistical Applications and Methods)
2018 .11
-
Approximate Maximum Product Spacings Estimation for a Weibull Distribution under Progressive Censoring
Journal of The Korean Data Analysis Society
2019 .01
-
Bayesian and maximum likelihood estimation of entropy of the inverse Weibull distribution under generalized type I progressive hybrid censoring
CSAM(Communications for Statistical Applications and Methods)
2020 .07
-
Bayesian and maximum likelihood estimations from exponentiated log-logistic distribution based on progressive type-II censoring under balanced loss functions
CSAM(Communications for Statistical Applications and Methods)
2021 .09
-
Classical and Bayesian methods of estimation for power Lindley distribution with application to waiting time data
CSAM(Communications for Statistical Applications and Methods)
2017 .05
-
Approximate Maximum Product Spacings Estimation for the Parameter of a Rayleigh Distribution under Doubly Hybrid Censoring
Journal of The Korean Data Analysis Society
2019 .01
-
Approximate maximum product spacing estimation of Weibull distribution under progressive hybrid censoring
한국데이터정보과학회지
2022 .01
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-151-25-02-091195451