International Journal of Nonlinear Analysis and Applications

Estimating parameters of Marshall Olkin Topp Leon exponential distribution via grey wolf optimization and conjugate gradient with application

Document Type : Research Paper

Authors

1 Department of Mathematics, College of Computer Science and Mathematics, Tikrit University, Iraq

2 Department of Public Administration, Collage of Management and Economics, Tikrit University, Iraq

Abstract

A new probability model for positively skewed datasets like economic data, medical, engineering and other sciences was developed in this paper. The new distribution is named the Marshall Olkin Topp Leon Exponential distribution and it was generated using the Marshall Olkin Topp Leon -G family of distributions. It has three parameters and it is very flexible in fitting several and different datasets. Its basic mathematical properties were studied and two methods like maximum likelihood estimation via Gray Wolf optimization and Conjugate Gradient used for the estimation of model parameters. A real-life dataset was used to illustrate the flexibility of the distribution and it was found that the new model provides a better fit to real-life datasets than other distributions.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 13, Issue 1
March 2022
Pages 3491-3503
  • Receive Date: 13 March 2021
  • Revise Date: 17 June 2021
  • Accept Date: 30 June 2021