Bayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distribution
dc.contributor.author | Guure, B.C. | |
dc.contributor.author | Bosomprah, S. | |
dc.date.accessioned | 2018-08-28T11:54:42Z | |
dc.date.available | 2018-08-28T11:54:42Z | |
dc.date.issued | 2013-08 | |
dc.description.abstract | 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, (). 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.issn | http://dx.doi.org/10.1155/2013/364705 | |
dc.identifier.uri | http://ugspace.ug.edu.gh/handle/123456789/23890 | |
dc.language.iso | en | en_US |
dc.publisher | Hindawi Publishing Corporation | en_US |
dc.subject | Bayesian | en_US |
dc.subject | Inference | en_US |
dc.subject | Survival Data | en_US |
dc.subject | Exponential Distribution | en_US |
dc.subject | Investigation | en_US |
dc.title | Bayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distribution | en_US |
dc.type | Article | en_US |
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