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Home/e-Resources/Mathematics/Univariate And Bivariate Burr Type X Distributions Based On Mixtures And Copula

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Abstract & Overview

The Burr type X distribution has been used in analyzing and fitting lifetime data. It has a close relationship with the Weibull, gamma, exponentiated Weibull and exponentiated exponential distributions and shares various characteristics of these distributions. In this paper, a new bivariate Burr type X distribution is introduced. The construction of this distribution is based on the M mixture representation which combines the mixing and copula ideas. The bivariate Burr type X distribution is constructed based on the Gaussian copula. Bayesian estimation via Gibbs sampler is conducted under different loss functions. A numerical comparison is given for illustrative purpose.

Cite this record

Mervat Khalifah Abd Elaal, Mahmoud R. Mahmoud, Mervat M. EL-Gohary, Lamya A. Baharith (2016). Univariate And Bivariate Burr Type X Distributions Based On Mixtures And Copula. International Journal of Mathematics & Statistics/International journal of mathematics and statistics, 17(1), 113–127. https://library.shubhaarti.in/content/1d43bb6b-71e0-40b0-a8ea-db0a80d60be4

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Elaal, M. K. A., Mahmoud, M. R., EL-Gohary, M. M., & Baharith, L. A. (2016). Univariate And Bivariate Burr Type X Distributions Based On Mixtures And Copula. International Journal of Mathematics & Statistics/International journal of mathematics and statistics, 17(1), 113–127. https://library.shubhaarti.in/content/1d43bb6b-71e0-40b0-a8ea-db0a80d60be4
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