The odd power generalized Weibull-G power series class of distributions: properties and applications

Oluyede Broderick (), Moakofi Thatayaone () and Chipepa Fastel ()
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Oluyede Broderick: Botswana International University of Science and Technology, Botswana .
Moakofi Thatayaone: Botswana International University of Science and Technology, Botswana .
Chipepa Fastel: Botswana International University of Science and Technology, Botswana .

Statistics in Transition New Series, 2022, vol. 23, issue 1, 89-108

Abstract: We develop a new class of distributions, namely, the odd power generalized Weibull-G power series (OPGW-GPS) class of distributions. We present some special classes of the proposed distribution. Structural properties, have also been derived. We conducted a simulation study to evaluate the consistency of the maximum likelihood estimates. Moreover, two real data examples on selected data sets, to illustrate the usefulness of the new class of distributions. The proposed model outperforms several non-nested models on selected data sets.

Keywords: Weibull-g distribution; power series; Poisson distribution; logarithmic distribution; maximum likelihood estimation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:23:y:2022:i:1:p:89-108:n:12

DOI: 10.2478/stattrans-2022-0006

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