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Log-Gamma - Rayleigh Distribution: Properties and Applications

Year 2018, Volume: 31 Issue: 3, 967 - 983, 01.09.2018
https://izlik.org/JA27WP37BN

Abstract

 In this paper, for the first time we defined and studied a new two parameter lifetime model by using the T-X method, called the Log-Gamma Rayleigh distribution. This distribution can be considered as new generalization of the Rayleigh distribution. We obtain some of its mathematical properties. Some structural properties of the new distribution are studied. The method of maximum likelihood is used for estimating the model parameters. An application to a real data sets is given to show the flexibility and potentiality of the new model. 

References

  • 1-Kareema Abed Al-Kadim kareema kadim@yahoo.com
  • 2-Mohammad Abdalhussain Boshi Mohammad_abd31@yahoo.com

Year 2018, Volume: 31 Issue: 3, 967 - 983, 01.09.2018
https://izlik.org/JA27WP37BN

Abstract

References

  • 1-Kareema Abed Al-Kadim kareema kadim@yahoo.com
  • 2-Mohammad Abdalhussain Boshi Mohammad_abd31@yahoo.com
There are 2 citations in total.

Details

Journal Section Research Article
Authors

Samir Ashour This is me

Darwish Darwısh This is me

Ahmad Saad

Publication Date September 1, 2018
IZ https://izlik.org/JA27WP37BN
Published in Issue Year 2018 Volume: 31 Issue: 3

Cite

APA Ashour, S., Darwısh, D., & Saad, A. (2018). Log-Gamma - Rayleigh Distribution: Properties and Applications. Gazi University Journal of Science, 31(3), 967-983. https://izlik.org/JA27WP37BN
AMA 1.Ashour S, Darwısh D, Saad A. Log-Gamma - Rayleigh Distribution: Properties and Applications. Gazi University Journal of Science. 2018;31(3):967-983. https://izlik.org/JA27WP37BN
Chicago Ashour, Samir, Darwish Darwısh, and Ahmad Saad. 2018. “Log-Gamma - Rayleigh Distribution: Properties and Applications”. Gazi University Journal of Science 31 (3): 967-83. https://izlik.org/JA27WP37BN.
EndNote Ashour S, Darwısh D, Saad A (September 1, 2018) Log-Gamma - Rayleigh Distribution: Properties and Applications. Gazi University Journal of Science 31 3 967–983.
IEEE [1]S. Ashour, D. Darwısh, and A. Saad, “Log-Gamma - Rayleigh Distribution: Properties and Applications”, Gazi University Journal of Science, vol. 31, no. 3, pp. 967–983, Sept. 2018, [Online]. Available: https://izlik.org/JA27WP37BN
ISNAD Ashour, Samir - Darwısh, Darwish - Saad, Ahmad. “Log-Gamma - Rayleigh Distribution: Properties and Applications”. Gazi University Journal of Science 31/3 (September 1, 2018): 967-983. https://izlik.org/JA27WP37BN.
JAMA 1.Ashour S, Darwısh D, Saad A. Log-Gamma - Rayleigh Distribution: Properties and Applications. Gazi University Journal of Science. 2018;31:967–983.
MLA Ashour, Samir, et al. “Log-Gamma - Rayleigh Distribution: Properties and Applications”. Gazi University Journal of Science, vol. 31, no. 3, Sept. 2018, pp. 967-83, https://izlik.org/JA27WP37BN.
Vancouver 1.Samir Ashour, Darwish Darwısh, Ahmad Saad. Log-Gamma - Rayleigh Distribution: Properties and Applications. Gazi University Journal of Science [Internet]. 2018 Sep. 1;31(3):967-83. Available from: https://izlik.org/JA27WP37BN