Particle swarm optimization based Liu-type estimator

Inan, Deniz and Egrioglu, Erol and Sarica, Busenur and Askin, Oykum Esra and Tez, Mujgan (2017) Particle swarm optimization based Liu-type estimator. Communications in Statistics - Theory and Methods, 46 (22). pp. 11358-11369. ISSN 0361-0926

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Abstract

In this study, a new method for the estimation of the shrinkage and biasing parameters of Liu-type estimator is proposed. Because k is kept constant and d is optimized in Liu’s method, a (k, d) pair is not guaranteed to be the optimal point in terms of the mean square error of the parameters. The optimum (k, d) pair that minimizes the mean square error, which is a function of the parameters k and d, should be estimated through a simultaneous optimization process rather than through a two-stage process. In this study, by utilizing a different objective function, the parameters k and d are optimized simultaneously with the particle swarm optimization technique.

Item Type:
Journal Article
Journal or Publication Title:
Communications in Statistics - Theory and Methods
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
ID Code:
139459
Deposited By:
Deposited On:
10 Dec 2019 15:00
Refereed?:
Yes
Published?:
Published
Last Modified:
24 Nov 2020 08:11