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  • 标题:Efficient Rotation Pattern in Two-Phase Sampling
  • 本地全文:下载
  • 作者:A. Bandyopadhyay ; G.N. Singh
  • 期刊名称:Journal of Statistical Theory and Applications (JSTA)
  • 电子版ISSN:1538-7887
  • 出版年度:2017
  • 卷号:16
  • 期号:2
  • 页码:263-270
  • DOI:10.2991/jsta.2017.16.2.10
  • 语种:English
  • 出版社:Atlantis Press
  • 摘要:The present investigation is an attempt to estimate the population mean on current occasion in two-phase successive (rotation) sampling over two occasions. Utilizing information on two auxiliary variables one chain-type estimator has been proposed to estimate the population mean on the current occasion. Properties of the proposed estimator have been studied and its optimum replacement strategy is discussed. The proposed estimator has been compared with sample mean estimator when there is no matching and the natural optimum estimator, which is a linear combination of the means of the matched and unmatched portions of the sample on the current occasion. Results are demonstrated through empirical studies which are followed by suitable recommendations.
  • 关键词:Two-phase; Successive sampling; Auxiliary variables; Chain-type; Exponential; Regression; Bias; Mean square error; Optimum replacement policy.
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