| publication name | 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 | http://dx.doi.org/10.22436/jnsa.012.05.05 |
| Full paper | download |
| 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.