Bayesian Analysis of the Survival Function and Failure Rate of Weibull Distribution with Censored Data
Joint Authors
Guure, Chris Bambey
Ibrahim, Noor Akma
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-20
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
The survival function of the Weibull distribution determines the probability that a unit or an individual will survive beyond a certain specified time while the failure rate is the rate at which a randomly selected individual known to be alive at time (t−1) will die at time (t).
The classical approach for estimating the survival function and the failure rate is the maximum likelihood method.
In this study, we strive to determine the best method, by comparing the classical maximum likelihood against the Bayesian estimators using an informative prior and a proposed data-dependent prior known as generalised noninformative prior.
The Bayesian estimation is considered under three loss functions.
Due to the complexity in dealing with the integrals using the Bayesian estimator, Lindley’s approximation procedure is employed to reduce the ratio of the integrals.
For the purpose of comparison, the mean squared error (MSE) and the absolute bias are obtained.
This study is conducted via simulation by utilising different sample sizes.
We observed from the study that the generalised prior we assumed performed better than the others under linear exponential loss function with respect to MSE and under general entropy loss function with respect to absolute bias.
American Psychological Association (APA)
Guure, Chris Bambey& Ibrahim, Noor Akma. 2012. Bayesian Analysis of the Survival Function and Failure Rate of Weibull Distribution with Censored Data. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-18.
https://search.emarefa.net/detail/BIM-1001510
Modern Language Association (MLA)
Guure, Chris Bambey& Ibrahim, Noor Akma. Bayesian Analysis of the Survival Function and Failure Rate of Weibull Distribution with Censored Data. Mathematical Problems in Engineering No. 2012 (2012), pp.1-18.
https://search.emarefa.net/detail/BIM-1001510
American Medical Association (AMA)
Guure, Chris Bambey& Ibrahim, Noor Akma. Bayesian Analysis of the Survival Function and Failure Rate of Weibull Distribution with Censored Data. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-18.
https://search.emarefa.net/detail/BIM-1001510
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001510