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  • 标题:Some Improved Multivariate-Ratio-Type Estimators Using Geometric and Harmonic Means in Stratified Random Sampling
  • 本地全文:下载
  • 作者:Sachin Malik ; Rajesh Singh
  • 期刊名称:ISRN Probability and Statistics
  • 电子版ISSN:2090-472X
  • 出版年度:2012
  • 卷号:2012
  • DOI:10.5402/2012/509186
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Auxiliary variable is commonly used in survey sampling to improve the precision of estimates. Whenever there is auxiliary information available, we want to utilize it in the method of estimation to obtain the most efficient estimator. In this paper using multiauxiliary information we have proposed estimators based on geometric and harmonic mean. It was also shown that estimators based on harmonic mean and geometric mean are less biased than Olkin (1958) and Singh (1967) estimators under certain conditions. However, the MSE of Olkin (1958) estimator and geometric and harmonic estimators are same up to the first order of approximations.
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