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文章基本信息

  • 标题:Comparison of some Variance Estimators of the Ratio Estimator in Presence of Two Auxiliary Variables
  • 本地全文:下载
  • 作者:P. A. Patel ; Jigna S. Patel
  • 期刊名称:Interstat
  • 印刷版ISSN:1941-689X
  • 出版年度:2010
  • 期号:Jan
  • 出版社:Virginia Tech
  • 摘要:

    This article discusses various procedures for variance estimation, under the Midzuno-Sen sampling scheme, of the ratio estimator of a finite population total when auxiliary information on two variables is available and suggests some variance estimators. A small scale Monte Carlo simulation is carried out to investigate empirical performance of the suggested estimators. The estimator vopt performs extremely well for the populations having high coefficients of variation of two auxiliary variables and very high coefficients of correlation of the auxiliary variables with the study variables. Otherwise, the estimator v12 and v13 suggested by Chaudhuri [1], perform very well.

  • 关键词:Auxiliary information; calibration; Isaki-type estimator; weighted ratio type estimator; Model-based estimator; Ratio estimator
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