Journal of Statistical Theory and Applications (JSTA) (Jul 2020)

Exponentiated Power Function Distribution: Properties and Applications

  • Muhammad Zeshan Arshad,
  • Muhammad Zafar Iqbal,
  • Munir Ahmad

DOI
https://doi.org/10.2991/jsta.d.200514.001
Journal volume & issue
Vol. 19, no. 2

Abstract

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In this study, we have focused to propose a flexible model that demonstrates increasing, decreasing and upside-down bathtub-shaped density and failure rate functions. The proposed model refers to as the exponentiated power function (EPF) distribution. Some mathematical and reliability measures are developed and derived. We develop explicit expressions for the moments, quantile function and order statistics. Some shapes of the density and the reliability functions are sketched out and discussed. We suggest the method to estimate the unknown parameters of EPF by the maximum likelihood estimation. Two suitable lifetime datasets from engineering sector are used to explore the dominance of the EPF distribution.

Keywords