The Half-Logistic Odd Power Generalized Weibull-G Family of Distributions

Peter O. Peter (), Fastel Chipepa (), Broderick Oluyede () and Boikanyo Makubate ()
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Peter O. Peter: Department of Mathematics & Statistical Sciences, Faculty of Science, Botswana International University of Science & Technology, Palapye, Botswana
Fastel Chipepa: Department of Mathematics & Statistical Sciences, Faculty of Science, Botswana International University of Science & Technology, Palapye, Botswana
Broderick Oluyede: Department of Mathematics & Statistical Sciences, Faculty of Science, Botswana International University of Science & Technology, Palapye, Botswana
Boikanyo Makubate: Department of Mathematics & Statistical Sciences, Faculty of Science, Botswana International University of Science & Technology, Palapye, Botswana

Central European Journal of Economic Modelling and Econometrics, 2022, vol. 14, issue 1, 1-35

Abstract: We develop and study in detail a new family of distributions called Half-logistic Odd Power Generalized Weibull-G (HLOPGW-G) distribution, which is a linear combination of the exponentiated-G family of distributions. From the special cases considered, the model can fit heavy tailed data and has non-monotonic hazard rate functions. We further assess and demonstrate the performance of this family of distributions via simulation experiments. Real data examples are given to demonstrate the applicability of the proposed model compared to several other existing models.

Keywords: half logistic distribution; half logistic-G distribution; Weibull generalized-G distribution; maximum likelihood estimatio (search for similar items in EconPapers)
JEL-codes: C2 C4 C6 C8 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:psc:journl:v:14:y:2022:i:1:p:1-35

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