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Analysis of survival data by an exponential-generalized Poisson distribution.

Authors :
Gupta, Ramesh C.
Wu, Qiuyi
Huang, Jie
Source :
Journal of Statistical Computation & Simulation. Nov2014, Vol. 84 Issue 11, p2495-2505. 11p.
Publication Year :
2014

Abstract

In this paper, we consider the distribution of life length of a series system with random number of components, sayZ. Considering the distribution ofZas generalized Poisson, an exponential-generalized Poisson (EGP) distribution is developed. The generalized Poisson distribution is a generalization of the Poisson distribution having one extra parameter. The structural properties of the resulting distribution are presented and the maximum likelihood estimation of the parameters is investigated. Extensive simulation studies are carried out to study the performance of the estimates. The score test is developed to test the importance of the extra parameter. For illustration, two real data sets are examined and it is shown that the EGP model, presented here, fits better than the exponential–Poisson distribution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00949655
Volume :
84
Issue :
11
Database :
Academic Search Index
Journal :
Journal of Statistical Computation & Simulation
Publication Type :
Academic Journal
Accession number :
96981568
Full Text :
https://doi.org/10.1080/00949655.2013.842569