Some Methods to Estimate the Parameters of Generalized Exponential Rayleigh Model by Simulation

Rehab Noori  Shalan; Iden Hassan  Alkanani

doi:10.52866/ijcsm.2023.02.02.010

Some Methods to Estimate the Parameters of Generalized Exponential Rayleigh Model by Simulation

Authors

Rehab Noori Shalan Department of Mathematics, College of Science, University of Basrah, Basrah, Iraq https://orcid.org/0000-0002-4530-6658
Iden Hassan Alkanani Department of Mathematics, College of Science for Women, University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0002-4530-6658

DOI:

https://doi.org/10.52866/ijcsm.2023.02.02.010

Keywords:

Maximum Likelihood Estimator Method, Moment estimator method, and Rank Set Sampling Estimator Method

Abstract

This paper shews how to estimate the parameter of generalized exponential Rayleigh (GER)
distribution by three estimation methods. The first one is maximum likelihood estimator method the second one
is moment employing estimation method (MEM), the third one is rank set sampling estimator method (RSSEM)The
simulation technique is used for all these estimation methods to find the parameters for generalized exponential
Rayleigh distribution. Finally using the mean squares error criterion to compare between these estimation methods
to find which of these methods are best to the others

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Published

2023-04-16

How to Cite

[1]

R. N. Shalan and I. H. . Alkanani, “Some Methods to Estimate the Parameters of Generalized Exponential Rayleigh Model by Simulation”, Iraqi Journal For Computer Science and Mathematics, vol. 4, no. 2, pp. 118–129, Apr. 2023.