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Annals of Data Science
Erschienen in: Annals of Data Science 4/2019

15.04.2019

Reliability Models Using the Composite Generalizers of Weibull Distribution

verfasst von: Gokarna R. Aryal, Keshav P. Pokhrel, Netra Khanal, Chris P. Tsokos

Erschienen in: Annals of Data Science | Ausgabe 4/2019

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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.
Vorheriger Artikel A Dynamic Panel Gravity Model Application on the Determinant Factors of Ethiopia’s Coffee Export Performance
Nächster Artikel Statistical Inference for the Chen Distribution Based on Upper Record Values

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Metadaten
Titel
Reliability Models Using the Composite Generalizers of Weibull Distribution
verfasst von
Gokarna R. Aryal
Keshav P. Pokhrel
Netra Khanal
Chris P. Tsokos
Publikationsdatum
15.04.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Annals of Data Science / Ausgabe 4/2019
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-019-00205-8

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