Reliability Models Using the Composite Generalizers of Weibull Distribution

Gokarna R. Aryal (), Keshav P. Pokhrel (), Netra Khanal () and Chris P. Tsokos ()
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Gokarna R. Aryal: Purdue University Northwest
Keshav P. Pokhrel: University of Michigan- Dearborn
Netra Khanal: The University of Tampa
Chris P. Tsokos: University of South Florida

Annals of Data Science, 2019, vol. 6, issue 4, No 9, 807-829

Abstract: Abstract In this article, we study the composite generalizers of Weibull distribution using exponentiated, Kumaraswamy, transmuted and beta distributions. The composite generalizers are constructed using both forward and reverse order of each of these distributions. The usefulness and effectiveness of the composite generalizers and their order of composition is investigated by studying the reliability behavior of the resulting distributions. Two sets of real-world data are analyzed using the proposed generalized Weibull distributions.

Keywords: Weibull distribution; Exponentiated distribution; Kumaraswamy distribution; Beta distribution; Transmutation map; Composition map (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s40745-019-00205-8

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