The Simulation Technique to Estimate the Parameters of Generalized Exponential Rayleigh Model

Rehab Noori Shalan; Iden Hassan Alkanani

doi:10.24996/ijs.2024.65.3.27

Authors

Rehab Noori Shalan Department of mathematics, college of science. University of, Basrah, Iraq
Iden Hassan Alkanani Department of mathematics, college of science for women. University of Baghdad, Baghdad, Iraq

DOI:

https://doi.org/10.24996/ijs.2024.65.3.27

Keywords:

Moment Estimator Method, Ordinary Least Squares Estimation Method, Maximum Entropy Estimation Method

Abstract

The paper shows how to estimate the three parameters of the generalized exponential Rayleigh distribution by utilizing the three estimation methods, namely, the moment employing estimation method (MEM), ordinary least squares estimation method (OLSEM), and maximum entropy estimation method (MEEM). The simulation technique is used for all these estimation methods to find the parameters for the generalized exponential Rayleigh distribution. In order to find the best method, we use the mean squares error criterion. Finally, in order to extract the experimental results, one of object oriented programming languages visual basic. net was used