Generalized exponential–power series distributions

Eisa Mahmoudi and Ali Akbar Jafari

Computational Statistics & Data Analysis, 2012, vol. 56, issue 12, 4047-4066

Abstract: In this paper, we introduce the generalized exponential–power series (GEPS) class of distributions, which is obtained by compounding generalized exponential and power series distributions. The compounding procedure follows the same way as previously carried out in introducing the complementary exponential–geometric (CEG) and the two-parameter Poisson–exponential (PE) lifetime distributions. This new class of distributions contains several lifetime models such as: CEG, PE, generalized exponential–binomial (GEB), generalized exponential–Poisson (GEP), generalized exponential–geometric (GEG) and generalized exponential–logarithmic (GEL) distributions as special cases.

Keywords: EM-algorithm; Generalized exponential distribution; Maximum likelihood estimation; Power series distributions (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:56:y:2012:i:12:p:4047-4066

DOI: 10.1016/j.csda.2012.04.009

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