베이지안 확률 모형을 이용한 위험률 함수의 추론Hazard Rate Estimation from Bayesian Approach
- Other Titles
- Hazard Rate Estimation from Bayesian Approach
- Authors
- 김현묵; 안선응
- Issue Date
- Sep-2005
- Publisher
- 한국산업경영시스템학회
- Keywords
- Bayesian Approach; Hazard Rate; Maximum Likelihood Estimate; Reliability; Bayesian Approach; Hazard Rate; Maximum Likelihood Estimate; Reliability
- Citation
- 한국산업경영시스템학회지, v.28, no.3, pp 26 - 35
- Pages
- 10
- Indexed
- KCI
- Journal Title
- 한국산업경영시스템학회지
- Volume
- 28
- Number
- 3
- Start Page
- 26
- End Page
- 35
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46261
- ISSN
- 2005-0461
- Abstract
- This paper is intended to compare the hazard rate estimations from Bayesian approach and maximum likelihood estimate(MLE) method. Hazard rate frequently involves unknown parameters and it is common that those parameters are estimated from observed data by using MLE method. Such estimated parameters are appropriate as long as there are sufficient data. Due to various reasons, however, we frequently cannot obtain sufficient data so that the result of MLE method may be unreliable. In order to resolve such a problem we need to rely on the judgement about the unknown parameters. We do this by adopting the Bayesian approach. The first one is to use a predictive distribution and the second one is a method called Bayesian estimate. In addition, in the Bayesian approach, the prior distribution has a critical effect on the result of analysis, so we introduce the method using computerized-simulation to elicit an effective prior distribution. For the simplicity, we use exponential and gamma distributions as a likelihood distribution and its natural conjugate prior distribution, respectively. Finally, numerical examples are given to illustrate the potential benefits of the Bayesian approach.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46261)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.