Explaining Ovarian Cancer Data with Increasing Hazard Model

Authors

Brijesh P. Singh, Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi-221005, U.P. IndiaFollow
Utpal Dhar Das, Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi-221005, U.P. IndiaFollow
Sandeep Singh, Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi-221005, U.P. IndiaFollow
Mansour Lotayif, College of Administrative Sciences, Applied Science University, P.O. Box 5055, East Al-Ekir, Kingdom of BahrainFollow

Author Country (or Countries)

U.P. India

Abstract

A single parameter model is developed in this study and used to understand ovarian cancer data. Its several mathematical and statistical properties such as the hazard rate function, moments, moment generating function, mean residual life function, renyi entropy, Bonferroni and Lorenz curve along with order statistics are derived. Maximum likelihood method is used to estimate the parameter. Also the importance of proposed model is checked for engineering data. Analysis reveals that the proposed model has potential to provide a better explanation than several existing lifetime models.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/150511

Recommended Citation

P. Singh, Brijesh; Dhar Das, Utpal; Singh, Sandeep; and Lotayif, Mansour (2021) "Explaining Ovarian Cancer Data with Increasing Hazard Model," Applied Mathematics & Information Sciences: Vol. 15: Iss. 5, Article 11.
DOI: http://dx.doi.org/10.18576/amis/150511
Available at: https://digitalcommons.aaru.edu.jo/amis/vol15/iss5/11