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Abstract

In this paper, we introduce a new there-parameter Rayleigh distribution, called the Marshall-Olkin alpha power Rayleigh (MOAPR) distribution. Some statistical properties of the MOAPR distribution are obtained. The proposed model is characterized based on truncated moments and reverse hazard function. The maximum likelihood and bootstrap estimation methods are considered to estimate the MOPAR parameters. A Monte Carlo simulation study is performed to compare the maximum likelihood and bootstrap estimation methods. Superiority of the MOAPR distribution over some well-known distributions is illustrated by means of two real data sets.

Keywords

Marshall-Olkin Alpha Power Rayleigh distribution Maximum likelihood estimation Bootstrap estimation

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How to Cite
Almetwally, E. M., Afify, A. Z., & Hamedani, G. G. (2021). Marshall-Olkin Alpha Power Rayleigh Distribution: Properties, Characterizations, Estimation and Engineering applications. Pakistan Journal of Statistics and Operation Research, 17(3), 745-760. https://doi.org/10.18187/pjsor.v17i3.3473
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