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The Poisson Burr X Inverse Rayleigh Distribution And Its Applications
Volume 18, Issue 1 (2020), pp. 56–77
Rania H. M. Abdelkhalek  

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https://doi.org/10.6339/JDS.202001_18(1).0003
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

A new flexible extension of the inverse Rayleigh model is proposed and studied. Some of its fundamental statistical properties are derived. We assessed the performance of the maximum likelihood method via a simulation study. The importance of the new model is shown via three applications to real data sets. The new model is much better than other important competitive models.

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Keywords
Inverse Rayleigh Poisson Simulation Modeling

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