Exponentiated Complementary Kumaraswamy-G Power Series Family of Distributions with Application to Lifetime Data

This paper proposed the Exponentiated Complementary Kumaraswamy - G Power (ECK-GP) Series family of distributions which is an extension of the Complementary Kumaraswamy-G Power Series family of distributions. The expressions for its densities, basic statistical properties and parameters estimation u...

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Bibliographic Details
Published inJournal of Applied Sciences and Environmental Management Vol. 26; no. 12; pp. 1915 - 1924
Main Authors Ewere, F., Eraikhuemen, I. B, Mbegbu, J. I.
Format Journal Article
LanguageEnglish
Published Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) 31.12.2022
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Summary:This paper proposed the Exponentiated Complementary Kumaraswamy - G Power (ECK-GP) Series family of distributions which is an extension of the Complementary Kumaraswamy-G Power Series family of distributions. The expressions for its densities, basic statistical properties and parameters estimation using the method of Maximum Likelihood were derived and established. An application of the Exponentiated Complementary Kumaraswamy Exponential Poisson (ECKEP) distribution to a real lifetime dataset clearly reveals its suitability and flexibility in fitting real life dataset.
ISSN:1119-8362
2659-1502
2659-1502
2659-1499
DOI:10.4314/jasem.v26i12.5