What is it about?

In this paper, we introduce a new lifetime distribution. We provide the EM algorithm to determine the maximum likelihood estimates of the parameters. Furthermore, we characterize the proposed distributions using a simple relationship between two truncated moments and maximum entropy principle under suitable constraints.

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Why is it important?

The new distribution family conceived inside a latent complementary risk scenario is proposed, in which there is no information about the responsible factor for the component failure (or individual death) and only the maximum lifetime value among all risks is observed. Our distribution is based on the inverse Weibull distribution which is widely used for modelling various problems in lifetime testing and reliability studies.

Perspectives

This publication is a good publication. Also, the process of review and accept in this journal is very regular.

Dr Sobhan Shafiei
Department of Statistics, Shahid Bahonar University of Kerman, Kerman, Iran

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This page is a summary of: Inverse Weibull power series distributions: properties and applications, Journal of Statistical Computation and Simulation, June 2015, Taylor & Francis,
DOI: 10.1080/00949655.2015.1049949.
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