Title of article :
The zero truncated Poisson Burr X family of distributions with properties, characterizations, applications, and validation test
Author/Authors :
Abouelmagd ، T. H. M. - Taibah University , Hamed ، Mohammed S. - Taibah University , Hamedani ، G. G. - Marquette University , Ali ، M. Masoom - Ball State University , Goual ، Hafida - University of Badji Mokhtar , Korkmaz ، Mustafa C. - Artvin Coruh University , Yousof ، Haitham M. - Benha University
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.
Keywords :
Validation test , maximum likelihood estimation , generating function , moments , zero truncated Poisson
Journal title :
Journal of Nonlinear Science and Applications
Journal title :
Journal of Nonlinear Science and Applications