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) 제29권 제5호
- 발행연도
- 2022.9
- 수록면
- 513 - 532 (20page)
이용수
초록· 키워드
오류제보하기
In this paper, the use of Bayes factors and the deviance information criterion for model selection are compared in a Bayesian accelerated life testing setup. In Bayesian accelerated life testing, the most used tool for model comparison is the deviance information criterion. An alternative and more formal approach is to use Bayes factors to compare models. However, Bayesian accelerated life testing models with more than one stressor often have mathematically intractable posterior distributions and Markov chain Monte Carlo methods are employed to obtain posterior samples to base inference on. The computation of the marginal likelihood is challenging when working with such complex models. In this paper, methods for approximating the marginal likelihood and the application thereof in the accelerated life testing paradigm are explored for dual-stress models. A simulation study is also included, where Bayes factors using the different approximation methods and the deviance information are compared.
목차
Abstract
1. Introduction
2. Bayesian model selection
3. Estimating the marginal likelihood
4. Generalized Eyring ALT models
5. Application
6. Simulation study
7. Conclusions
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Bayesian one-sided hypothesis testing for shape parameter in half exponential power distribution
한국데이터정보과학회지
2020 .01
-
Default Bayesian one sided testing for the shape parameter in the log-logistic distribution
한국데이터정보과학회지
2015 .12
-
Bayes tests of independence for contingency tables from small areas
한국데이터정보과학회지
2017 .01
-
Default Bayesian testing for scale parameters in the log-logistic distributions
한국데이터정보과학회지
2015 .12
-
Bayesian testing for the homogeneity of the shape parameters of several inverse Gaussian distributions
한국데이터정보과학회지
2016 .06
-
Default Bayesian testing equality of scale parameters in several inverse Gaussian distributions
한국데이터정보과학회지
2015 .06
-
Bayesian inference for an ordered multiple linear regression with skew normal errors
CSAM(Communications for Statistical Applications and Methods)
2020 .03
-
Bayesian one sided testing for the scale parameter of Lindley distribution
한국데이터정보과학회지
2020 .11
-
Parametric inference on step-stress accelerated life testing for the extension of exponential distribution under progressive type-2 censoring
CSAM(Communications for Statistical Applications and Methods)
2016 .07
-
Objective Bayesian multiple hypothesis testing for the shape parameter of generalized exponential distribution
한국데이터정보과학회지
2017 .01
-
Inference for exponentiated Weibull distribution under constant stress partially accelerated life tests with multiple censored
CSAM(Communications for Statistical Applications and Methods)
2019 .03
-
A pooled Bayes test of independence using restricted pooling model for contingency tables from small areas
CSAM(Communications for Statistical Applications and Methods)
2022 .09
-
How to Improve Classical Estimators via Linear Bayes Method?
CSAM(Communications for Statistical Applications and Methods)
2015 .11
-
A Bayesian cure rate model with dispersion induced by discrete frailty
CSAM(Communications for Statistical Applications and Methods)
2018 .09
-
Maximum penalized likelihood estimation for a stress-strength reliability model using complete and incomplete data
CSAM(Communications for Statistical Applications and Methods)
2018 .07
-
Objective Bayesian multiple comparisons between two normal models with unequal variances
CSAM(Communications for Statistical Applications and Methods)
2025 .03
-
Bayesian estimation for Rayleigh models
한국데이터정보과학회지
2017 .07
-
Bayesian Estimation of Inverted Exponentiated Weibull Distribution under Progressive Type II Censoring with Binomial Removal
Journal of The Korean Data Analysis Society
2020 .01
-
제약조건이 있는 베이지안 비모수 회귀모형을 활용한 방사선 반응자료 분석
한국데이터정보과학회지
2021 .11
-
Bayesian curve-fitting with radial basis functions under functional measurement error model
한국데이터정보과학회지
2015 .06
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2023-310-001433073