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
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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
Keywords
- Odd Fréchet family
- inverse Rayleigh distribution
- moments
- maximum likelihood
MSC
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