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  • 标题:Improved Dual to Variance Ratio Type Estimators for Population Variance
  • 本地全文:下载
  • 作者:Prayas Sharma ; Rajesh Singh
  • 期刊名称:Chilean Journal of Statistics
  • 印刷版ISSN:0718-7912
  • 电子版ISSN:0718-7920
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:45-54
  • 出版社:Chilean Statistical Society
  • 摘要:In this paper we have suggested three improved dual to variance ratio typ e estimators for estimating the unknown population variance S 2 y using auxiliary information. The optimum estimator in the suggested method has been identified along with its mean square error formula and it has b een seen that the suggested estimator performs bet- ter than other existing estimators. Theoretical comparisons and empirical comparisons based on four real populations are carried out to judge the merits of proposed estimators over other traditional estimators and estimators considered here.
  • 关键词:Finite population variance ; auxiliary variables ; mean squared error ; ; dual to variance ratio type estimator
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