Powered Inverse Rayleigh Distribution Using DUS Transformation

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DOI: https://doi.org/10.28924/2291-8639-21-2023-61
Published: Jul 3, 2023
Cite as:
M. I. Khan, Abdelfattah Mustafa, Powered Inverse Rayleigh Distribution Using DUS Transformation, Int. J. Anal. Appl., 21 (2023), 61.

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M. I. Khan, Abdelfattah Mustafa

Abstract

This article reports an extension of powered inverse Rayleigh distribution via DUS transformation, named DUS-Powered Inverse Rayleigh (DUS-PIR) distribution. Some statistical properties of suggested distribution in particular, moments, mode, quantiles, order statistics, entropy, inequality measures and stress-strength parameter have been investigated extensively. To estimate the parameters, maximum likelihood estimation (MLE) is discussed. The model superiority is verified through two real datasets.

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