Bayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distribution
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 o...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Journal of Probability and Statistics |
| Online Access: | http://dx.doi.org/10.1155/2013/364705 |
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| Summary: | 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. |
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| ISSN: | 1687-952X 1687-9538 |