Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology

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

On Random Censored Exponential Distribution

Chris Bambey Guure
Corresponding Author:  Chris Bambey Guure 
Submitted: September 06, 2012
Accepted: October 05, 2012
Published: 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.

Key words:  Bayesian, exponential distribution, gamma and generalised non-informative priors, random censoring, simulation study , ,
Abstract PDF HTML
Cite this Reference:
Chris Bambey Guure, . On Random Censored Exponential Distribution. Research Journal of Applied Sciences, Engineering and Technology, (21): 5022-5025.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved