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文章基本信息

  • 标题:Mean Estimation under Imputation based on Two-Phase Sampling Design using an Auxiliary Variable
  • 本地全文:下载
  • 作者:Ranjita Pandey ; Kalpana Yadav
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2016
  • 卷号:12
  • 期号:4
  • 页码:639-658
  • DOI:10.18187/pjsor.v12i4.1399
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:The present article offers more efficient imputation based estimators of the population mean under the framework of two-phase sampling in presence of an auxiliary variable. The theoretical conditions stating superiority of the proposed estimators, over some prevalent existing competitive estimators, in terms of relative efficiency is established by numerical illustrations based on three different data sets from the classical statistical literature.
  • 其他摘要:The present article offers more efficient imputation based estimators of the population mean under the framework of two-phase sampling in presence of an auxiliary variable. The theoretical conditions stating superiority of the proposed estimators, over some prevalent existing competitive estimators, in terms of relative efficiency is established by numerical illustrations based on three different data sets from the classical statistical literature.
  • 关键词:Bias; Mean squared error; Two-phase sampling scheme; Relative efficiency
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