Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
<mark>Journal publication date</mark> | 17/11/2017 |
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<mark>Journal</mark> | Communications in Statistics - Theory and Methods |
Issue number | 22 |
Volume | 46 |
Number of pages | 12 |
Pages (from-to) | 11358-11369 |
Publication Status | Published |
<mark>Original language</mark> | English |
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.