Exponentiated Weibull–Poisson distribution: Model, properties and applications
In this paper we propose a new four-parameters distribution with increasing, decreasing, bathtub-shaped and unimodal failure rate, called as the exponentiated Weibull–Poisson (EWP) distribution. The new distribution arises on a latent complementary risk problem base and is obtained by compounding exponentiated Weibull (EW) and Poisson distributions. This distribution contains several lifetime sub-models such as: generalized exponential-Poisson (GEP), complementary Weibull–Poisson (CWP), complementary exponential-Poisson (CEP), exponentiated Rayleigh–Poisson (ERP) and Rayleigh–Poisson (RP) distributions.
Year of publication: |
2013
|
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Authors: | Mahmoudi, Eisa ; Sepahdar, Afsaneh |
Published in: |
Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 92.2013, C, p. 76-97
|
Publisher: |
Elsevier |
Subject: | EM-algorithm | Exponentiated Weibull distribution | Maximum likelihood estimation | Probability weighted moments | Residual life function |
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