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文章基本信息

  • 标题:Improved Exponential Type Ratio Estimator of Population Variance
  • 本地全文:下载
  • 作者:Subhash Kumar Yadav ; Cem Kadilar
  • 期刊名称:Revista Colombiana de Estadística
  • 印刷版ISSN:2389-8976
  • 出版年度:2013
  • 卷号:36
  • 期号:1
  • 页码:145-152
  • 语种:English
  • 出版社:Universidad Nacional de Colombia, sede Bogotá
  • 摘要:This article considers the problem of estimating the population varianceusing auxiliary information. An improved version of Singh’s exponential typeratio estimator has been proposed and its properties have been studied underlarge sample approximation. It is shown that the proposed exponential typeratio estimator is more efficient than that considered by the Singh estimator,conventional ratio estimator and the usual unbiased estimator under somerealistic conditions. An empirical study has been carried out to judge themerits of the suggested estimator over others.
  • 关键词:Estadística;Auxiliary variable; Bias; Efficiency; Mean squared error
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