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

Author

Listed:
  • 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 .)

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.

Suggested Citation

  • Oluyede Broderick & Moakofi Thatayaone & Chipepa Fastel, 2022. "The odd power generalized Weibull-G power series class of distributions: properties and applications," Statistics in Transition New Series, Polish Statistical Association, vol. 23(1), pages 89-108, March.
    • Handle: RePEc:vrs:stintr:v:23:y:2022:i:1:p:89-108:n:12
    DOI: 10.2478/stattrans-2022-0006
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