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Dr. Mohamed Sewalim El-sayed Hamed :: Publications: |
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| Title: | Poisson Burr X Weibull Distribution |
| Authors: | Mohammed S. Hameda;T. H. M. Abouelmagda; Haitham M. Yousofb |
| Year: | 2018 |
| Keywords: | Truncated Poisson, moments, maximum likelihood estimation, function, generating function. |
| Journal: | Journal of Nonlinear Sciences and Applications |
| Volume: | 12 |
| Issue: | 3 |
| Pages: | 173--183 |
| Publisher: | International Scientific Research Publications (ISRP) |
| Local/International: | International |
| Paper Link: | |
| Full paper | Mohamed Sewalim Elsayed Hamed_poisson_burr_x_weibull_distribution-1543688479.pdf |
| Supplementary materials | Not Available |
| Abstract: |
The main goal of this paper is to introduce a continuous distributions based on the zero truncated Poisson which accommodates increasing, bathtub, decreasing, J-shaped, constant and unimodal shapes of monotone failure rates. A comprehensive account of some of its mathematical properties are provided. The new probability density function can be expressed as a linear combination of exponentiated Weibull densities. The method of the maximum likelihood is used to estimate the model parameters. Empirically, we proved the importance and flexibility of the new distribution in modeling two data sets. |
