![](/images/graphics-bg.png)
Bayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distribution
Joint Authors
Guure, Chris Bambey
Bosomprah, Samuel
Source
Journal of Probability and Statistics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-12
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A two-parameter lifetime distribution was introduced by Kundu and Gupta known as generalised exponential distribution.
This distribution has been touted to be an alternative to the well-known 2-parameter Weibull and gamma distributions.
We seek to determine the parameters and the survival function of this distribution.
The survival function determines the probability that a unit under investigation will survive beyond a certain specified time, say, (x).
We have employed different data sets to estimate the parameters and see how well the distribution can be used to analyse survival data.
A comparison is made about the estimators used in this study.
Standard errors of the estimators are determined and used for the comparisons.
A simulation study is also carried out, and the mean squared errors and absolute bias are obtained for the purpose of comparison.
American Psychological Association (APA)
Guure, Chris Bambey& Bosomprah, Samuel. 2013. Bayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distribution. Journal of Probability and Statistics،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-466173
Modern Language Association (MLA)
Guure, Chris Bambey& Bosomprah, Samuel. Bayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distribution. Journal of Probability and Statistics No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-466173
American Medical Association (AMA)
Guure, Chris Bambey& Bosomprah, Samuel. Bayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distribution. Journal of Probability and Statistics. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-466173
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466173