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文章基本信息

  • 标题:Comparison of Various Methods for Estimating Finite Population Total in Survey Sampling When Study Variable and Auxiliary Variable are Inversely Related
  • 作者:S. Kumar ; S. Kumar ; B. V. S. Sisodia
  • 期刊名称:Journal of Scientific Research
  • 印刷版ISSN:2070-0237
  • 电子版ISSN:2070-0245
  • 出版年度:2019
  • 卷号:11
  • 期号:1
  • 页码:15-22
  • 语种:English
  • 出版社:Rajshahi University
  • 其他摘要:In the present paper, a model based calibration estimator of population total has been developed when study variable y and auxiliary variable x are inversely related. The relative performance of the proposed model based calibration estimator in comparison to model based estimator, the usual regression estimator and calibration based regression estimator have been examined by conducting a limited simulation study. In view of the results of the simulation study, it has been found that model based calibration estimator has outperformed the other estimators. However, calibration based regression estimator was found to be close to the model based calibration estimator.
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