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    Abstract
2013 (Vol. 5, Issue: 21)
Article Information:

On Random Censored Exponential Distribution

Chris Bambey Guure
Corresponding Author:  Chris Bambey Guure 

Key words:  Bayesian, exponential distribution, gamma and generalised non-informative priors, random censoring, simulation study , ,
Vol. 5 , (21): 5022-5025
Submitted Accepted Published
September 06, 2012 October 05, 2012 May 20, 2013
Abstract:

The Exponential distribution has attracted the attention of statisticians working on theory and methods as well as in various fields of lifetime data analysis. In this study, we employ gamma non-informative prior and generalised (data-dependent) non-informative prior proposed by Guure and Ibrahim (2012) using squared error loss function. The Bayesian estimate of the scale parameter of the Exponential distribution is obtained by making use of Lindley’s approximation procedure and compared with the classical maximum likelihood estimator. Mean Squared Error (MSE) and the absolute bias of the estimators are determined via simulation study for the purpose of comparison. It has been observed from the simulation study that, Bayes estimator with the generalised non-informative prior outperformed the gamma non-informative prior and the classical maximum likelihood estimator.
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  Cite this Reference:
Chris Bambey Guure, 2013. On Random Censored Exponential Distribution.  Research Journal of Applied Sciences, Engineering and Technology, 5(21): 5022-5025.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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