Efficiency of the modified jackknifed Liu-type estimator

被引：0
作者：
Esra Akdeniz Duran
Fikri Akdeniz
机构：
[1] Gazi University,Department of Statistics, Faculty of Arts and Sciences
[2] Çukurova University,Department of Statistics, Faculty of Arts and Sciences
来源：
Statistical Papers | 2012年 / 53卷
关键词：
Almost unbiased Liu estimator; Jackknifed estimator; Liu-type estimator; Multicollinearity; Ridge regression estimator; 62J05; 62J07;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this article, we proposed a new estimator namely, modified jackknifed generalized Liu-type estimator (MJGLE). It is based on the criterion that it combines the ideas underlying both the generalized Liu estimator (GLE) and jackknifed generalized Liu estimator (JGLE). The performance of this estimator (MJGLE) is compared to that of the GLE and the JGLE. The ideas in the article are illustrated and evaluated using a real data example and simulations.
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页码：265 / 280
页数：15
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