Bayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distribution

dc.contributor.authorGuure, B.C.
dc.contributor.authorBosomprah, S.
dc.date.accessioned2018-08-28T11:54:42Z
dc.date.available2018-08-28T11:54:42Z
dc.date.issued2013-08
dc.description.abstractA 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, (). 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.en_US
dc.identifier.issnhttp://dx.doi.org/10.1155/2013/364705
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/23890
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.subjectBayesianen_US
dc.subjectInferenceen_US
dc.subjectSurvival Dataen_US
dc.subjectExponential Distributionen_US
dc.subjectInvestigationen_US
dc.titleBayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distributionen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Guure-CB_Bayesian-and-nonbayesian-inference-for-survival-data-using-generalised-exponential-distributionOpen-Access_2013.pdf
Size:
1.86 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.6 KB
Format:
Item-specific license agreed upon to submission
Description: