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文章基本信息

  • 标题:A New Biased Estimator Derived from Principal Component Regression Estimator
  • 本地全文:下载
  • 作者:Ng, Set Foong ; Low, Heng Chin ; Quah, Soon Hoe
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2010
  • 卷号:9
  • 期号:1
  • 页码:22
  • 出版社:Wayne State University
  • 摘要:A new biased estimator obtained by combining the Principal Component Regression Estimator and the special case of Liu-type estimator is proposed. The properties of the new estimator are derived and comparisons between the new estimator and other estimators in terms of mean squared error are presented.
  • 关键词:Linear regression model; Principal Component Regression Estimator; special case of Liu-type estimator; mean squared error
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