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Dr. Mohamed Sewalim El-sayed Hamed :: Publications:

Title:
The zero truncated Poisson Burr X family of distributions with properties, characterizations, applications, and validation test
Authors: Mohamed Sewalim Hamed
Year: 2019
Keywords: Validation test, maximum likelihood estimation, generating function, moments, zero truncated Poisson
Journal: Journal of Nonlinear Sciences and Applications (JNSA)
Volume: 12
Issue: 5
Pages: 314-336
Publisher: ISR-Publications
Local/International: International
Paper Link:
Full paper Mohamed Sewalim Elsayed Hamed_the_zero_truncated_poisson_burr_x_famil.pdf
Supplementary materials Not Available
Abstract:

The goal of this work is to introduce a new family of continuous distributions with a strong physical applications. Some statistical properties are derived, and certain useful characterizations of the proposed family of distributions are presented. Five applications are provided to illustrate the importance of the new family. A modified goodness-of- fit test for the new family in complete data case are investigated via two examples. We propose, as a first step, the construction of Nikulin-Rao-Robson statistic based on chi-squared fit tests for the new family in the case of complete data. The new test is based on the Nikulin-Rao- Robson statistic separately proposed by [M. S. Nikulin, Theory Probab. Appl., 18 (1974), 559–568] and [K. C. Rao, B. S. Robson, Comm. Statist., 3 (1974), 1139–1153]. As a second step, an application to real data has been proposed to show the applicability of the proposed test.

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