Discrete Teissier distribution: properties, estimation and application
Methodology
2021-10-22 v1 Statistics Theory
Applications
Computation
Statistics Theory
Abstract
In this article, a discrete analogue of continuous Teissier distribution is presented. Its several important distributional characteristics have been derived. The estimation of the unknown parameter has been done using the method of maximum likelihood and the method of moment. Two real data applications have been presented to show the applicability of the proposed model.
Cite
@article{arxiv.2110.10443,
title = {Discrete Teissier distribution: properties, estimation and application},
author = {Bhupendra Singh and Varun Agiwal and Ravindra Pratap Singh and Abhishek Tyagi},
journal= {arXiv preprint arXiv:2110.10443},
year = {2021}
}
Comments
16 pages, 3 figures