Abstract
The aim of this study is to estimate the first two shrinkage estimators for the parameters of the Pareto II distribution with right-censored Type II data. The methods we used in this study are: maximum likelihood and Bayesian. In the Bayesian method, we use non-informative priority, which is Jeffries priority, and we use the squared error loss function. These estimators were compared through Monte Carlo simulation to indicate preference based on the mean square error criterion.
Recommended Citation
Labban, Jubran Abdulameer and Alkutubi, Hadeel
(2026)
"On Shrinkage Estimators for Pareto II Parameters for Right Censored Type II Data,"
Iraqi Journal for Computer Science and Mathematics: Vol. 7:
Iss.
3, Article 5.
DOI: https://doi.org/10.52866/2788-7421.1421
Available at:
https://ijcsm.researchcommons.org/ijcsm/vol7/iss3/5
