Volume 5, Issue 6 (June 2018), Pages: 64-69
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Original Research Paper
Title: Univariate and bivariate Burr x-type distributions
Author(s): Mervat K. Abd Elaala *, Lamya A. Baharith
Affiliation(s):
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
https://doi.org/10.21833/ijaas.2018.06.010
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Abstract:
The Burr X distribution has been extensively studied by many researchers. It has many applications in medical, biological, agriculture and other fields. In this paper, a new family of Burr X-type distributions is introduced; the univariate Burr X-type distribution and the bivariate Burr X-type distribution. The bivariate Burr X-type distribution is constructed based on Gaussian copula with univariate Burr X-type distribution as marginals. This type distribution is more flexible and provides easier implementation and extension to bivariate form. A Gibbs sampler procedure is used to obtain Bayesian estimates of the unknown parameters. A simulation study is carried out to illustrate the efficiency of the proposed bivariate Burr X-type distribution. Finally, the proposed bivariate distribution is applied on real data to demonstrate its usefulness for real life applications.
© 2018 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Burr X distribution, M mixture representation, Copula, Bivariate Burr X type distribution, Gibbs sampler
Article History: Received 24 January 2018, Received in revised form 30 March 2018, Accepted 9 April 2018
Digital Object Identifier:
https://doi.org/10.21833/ijaas.2018.06.010
Citation:
Elaala MKA and Baharith LA (2018). Univariate and bivariate Burr x-type distributions. International Journal of Advanced and Applied Sciences, 5(6): 64-69
Permanent Link:
http://www.science-gate.com/IJAAS/2018/V5I6/Elaala.html
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