The Weibull–Conway–Maxwell–Poisson distribution to analyze survival data
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摘要
In this paper, we consider the distribution of life length of a series system with random number of components, say M. Considering the distribution of M as COM–Poisson, a Weibull–COM–Poisson distribution (WCOMP) is developed. The COM–Poisson 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. A score test is developed to test the importance of the extra parameter. For illustration, three real data sets are examined and it is shown that the WCOMP model, presented here, fits better than the exponential Poisson and the exponential-COMP distributions.
论文关键词:Maximum likelihood estimation,Score test,Exponential-Poisson,Exponential COM–Poisson distribution
论文评审过程:Received 24 January 2016, Revised 20 April 2016, Available online 18 July 2016, Version of Record 5 August 2016.
论文官网地址:https://doi.org/10.1016/j.cam.2016.06.035