A new statistical approach for modeling the bladder cancer and leukemia patients data sets: Case studies in the medical sector

Author:

El-Morshedy Mahmoud12,Ahmad Zubair3,tag-Eldin Elsayed4,Almaspoor Zahra3,Eliwa Mohamed S.56,Iqbal Zahoor7

Affiliation:

1. Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia

2. Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt

3. Department of Statistics, Yazd University, P.O. Box 89175-741, Yazd, Iran

4. Faculty of Engineering and Technology, Future University in Egypt New Cairo 11835, Egypt

5. Department of Statistics and Operation Research, College of Science, Qassim University, P.O. Box 6644, Buraydah 51482, Saudi Arabia

6. Department of Statistics and Computer Science, Faculty of Science, Mansoura University, Mansoura 35516, Egypt

7. Department of Mathematics, Quaid-i-Azam University, Islamabad 44000, Pakistan

Abstract

<abstract><p>Statistical methods are frequently used in numerous healthcare and other related sectors. One of the possible applications of the statistical methods is to provide the best description of the data sets in the healthcare sector. Keeping in view the applicability of statistical methods in the medical sector, numerous models have been introduced. In this paper, we also introduce a novel statistical method called, a new modified-$ G $ family of distributions. Several mathematical properties of the new modified-$ G $ family are derived. Based on the new modified-$ G $ method, a new updated version of the Weibull model called, a new modified-Weibull distribution is introduced. Furthermore, the estimators of the parameters of the new modified-$ G $ distributions are also obtained. Finally, the applicability of the new modified-Weibull distribution is illustrated by analyzing two medical sets. Using certain analytical tools, it is observed that the new modified-Weibull distribution is the best choice to deal with the medical data sets.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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