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  • 标题:Regression Estimators in Ranked Set, Median Ranked Set and Neoteric Ranked Set Sampling
  • 本地全文:下载
  • 作者:Nursel Koyuncu
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2018
  • 卷号:14
  • 期号:1
  • 页码:89-94
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:This paper proposes new regression estimators in median ranked set and neoteric ranked set sampling using one and two auxiliary variables. The proposed estimators have large gain in presicion compared to the classical ranked set sampling (RSS) design. A simulation study is designed to see the performance of suggested estimators. A real data set example is also used. In this data set, we have examined a rare endemic annual plant species which is grown in Turkey. We have found that suggested estimators are highly efficient that existing estimators.
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