Bayesian Inference of the Weibull Model Based on Interval-Censored Survival Data
Joint Authors
Guure, Chris Bambey
Adam, Mohd Bakri
Ibrahim, Noor Akma
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Interval-censored data consist of adjacent inspection times that surround an unknown failure time.
We have in this paper reviewed the classical approach which is maximum likelihood in estimating the Weibull parameters with interval-censored data.
We have also considered the Bayesian approach in estimating the Weibull parameters with interval-censored data under three loss functions.
This study became necessary because of the limited discussion in the literature, if at all, with regard to estimating the Weibull parameters with interval-censored data using Bayesian.
A simulation study is carried out to compare the performances of the methods.
A real data application is also illustrated.
It has been observed from the study that the Bayesian estimator is preferred to the classical maximum likelihood estimator for both the scale and shape parameters.
American Psychological Association (APA)
Guure, Chris Bambey& Ibrahim, Noor Akma& Adam, Mohd Bakri. 2013. Bayesian Inference of the Weibull Model Based on Interval-Censored Survival Data. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-503137
Modern Language Association (MLA)
Guure, Chris Bambey…[et al.]. Bayesian Inference of the Weibull Model Based on Interval-Censored Survival Data. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-503137
American Medical Association (AMA)
Guure, Chris Bambey& Ibrahim, Noor Akma& Adam, Mohd Bakri. Bayesian Inference of the Weibull Model Based on Interval-Censored Survival Data. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-503137
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-503137