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文章基本信息

  • 标题:Improved Estimators in Finite Population Surveys: Theory and Applications
  • 本地全文:下载
  • 作者:Kumar, Sunil
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2013
  • 卷号:12
  • 期号:1
  • 页码:16
  • 出版社:Wayne State University
  • 摘要:Improved estimators are proposed for estimating the population mean Y̅ of the study variable y using auxiliary variable x in simple random sampling. Explicit expression for the bias and MSE of the proposed family are derived to the first order of approximation. The proposed estimators are compared with other estimators and theoretical findings are illustrated by two numerical examples.
  • 关键词:Ratio estimator; product estimator; regression estimator; bias; mean square error
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