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  • 标题:Improved generalized family of estimators of population mean using information on transformed auxiliary variables
  • 本地全文:下载
  • 作者:Housila P. Singh ; Anita Yadav
  • 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:4
  • 页码:913-934
  • DOI:10.18187/pjsor.v14i4.2338
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:This paper addresses the problem of estimating the population mean of the study variable using information on transformed auxiliary variables. In addition to many, Yasmeen et al (2015) estimator shown to the members of the suggested classes of estimators. We have derived the bias and mean squared error ( MSE ) of the suggested classes of estimators to the first degree of approximation. We have obtained the optimum conditions for which the suggested classes of estimators have minimum mean squared errors. It has been shown that the proposed classes of estimators are more efficient than the estimators recently envisaged by Yasmeen et al (2015) and other existing estimators.
  • 其他关键词:Study variate; Mean; Variance; Auxiliary variate; Efficiency Comparison
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