Applying the Shrinkage Technique for Estimating the Scale Parameter of Weighted Rayleigh Distribution

Intesar Obeid  Hassoun; Adel Abdulkadhim  Hussein

doi:10.24996/ijs.2020.61.9.20

Applying the Shrinkage Technique for Estimating the Scale Parameter of Weighted Rayleigh Distribution

Authors

Intesar Obeid Hassoun Department of Mathematics, College of Education for Pure Sciences/ Ibn Al â€“ Haithem, University of Baghdad
Adel Abdulkadhim Hussein Department of Mathematics, College of Education for Pure Sciences/ Ibn Al â€“ Haithem, University of Baghdad

DOI:

https://doi.org/10.24996/ijs.2020.61.9.20

Keywords:

Weighted Rayleigh distribution, Moment Method, Maximum likelihood method Shrinkage Technique, Mean Squared Error (MSE)

Abstract

This paper includes the estimation of the scale parameter of weighted Rayleigh distribution using well-known methods of estimation (classical and Bayesian). The proposed estimators were compared using Monte Carlo simulation based on mean squared error (MSE) criteria. Then, all the results of simulation and comparisons were demonstrated in tables.

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Published

2020-09-29

Issue

Vol 61 No 9 (2020)

Section

Mathematics

How to Cite

Applying the Shrinkage Technique for Estimating the Scale Parameter of Weighted Rayleigh Distribution. (2020). Iraqi Journal of Science, 61(9), 2335-2340. https://doi.org/10.24996/ijs.2020.61.9.20