The odd Fréchet inverse Rayleigh distribution: statistical properties and applications

Volume 12, Issue 5, pp 291--299 http://dx.doi.org/10.22436/jnsa.012.05.03
Publication Date: December 15, 2018 Submission Date: October 03, 2018 Revision Date: October 30, 2018 Accteptance Date: November 16, 2018

Authors

M. Elgarhy - Vice Presidency for Graduate Studies and Scientific Research, University of Jeddah, Jaddeh, KSA. Sharifah Alrajhi - Statistics Department, Faculty of Science, King Abdulaziz University, Jaddeh, KSA.


Abstract

We propose a new distribution with two parameters called the odd Fréchet inverse Rayleigh (OFIR) distribution. The new model can be more flexible. Several of its statistical properties are studied. The maximum likelihood (ML) estimation is used to drive estimators of OFIR parameters. The importance and flexibility of the new model is assessed using one real data set.


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ISRP Style

M. Elgarhy, Sharifah Alrajhi, The odd Fréchet inverse Rayleigh distribution: statistical properties and applications, Journal of Nonlinear Sciences and Applications, 12 (2019), no. 5, 291--299

AMA Style

Elgarhy M., Alrajhi Sharifah, The odd Fréchet inverse Rayleigh distribution: statistical properties and applications. J. Nonlinear Sci. Appl. (2019); 12(5):291--299

Chicago/Turabian Style

Elgarhy, M., Alrajhi, Sharifah. "The odd Fréchet inverse Rayleigh distribution: statistical properties and applications." Journal of Nonlinear Sciences and Applications, 12, no. 5 (2019): 291--299


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