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  • 标题:EFFICIENT ESTIMATORS OF POPULATION MEAN USING AUXILIARY INFORMATION UNDER SIMPLE RANDOM SAMPLING
  • 本地全文:下载
  • 作者:Mir Subzar ; Showkat Maqbool ; Tariq Ahmad Raja
  • 期刊名称:Statistics in Transition
  • 印刷版ISSN:1234-7655
  • 电子版ISSN:2450-0291
  • 出版年度:2018
  • 卷号:19
  • 期号:2
  • 页码:219-238
  • DOI:10.21307/stattrans-2018-013
  • 出版社:Exeley Inc.
  • 摘要:In the present study we have proposed an improved family of estimators for estimation of population mean using the auxiliary information of median, quartile deviation, Gini’s mean difference, Downton’s Method, Probability Weighted Moments and their linear combinations with correlation coefficient and coefficient of variation. The performance of the proposed family of estimators is analysed by mean square error and bias and compared with the existing estimators in the literature. By this comparison we conclude that our proposed family of estimators is more efficient than the existing estimators. To support the theoretical results, we also provide the empirical study.
  • 关键词:Auxiliary information;Bias;Mean Square Error;Simple Random Sampling;Efficiency
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