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文章基本信息

  • 标题:Improved Estimators of Finite Population Variance using Unknown Weight of Auxiliary Variable
  • 本地全文:下载
  • 作者:J. O. Muili ; A. Audu ; R. V. K. Singh
  • 期刊名称:Annals. Computer Science Series
  • 印刷版ISSN:1583-7165
  • 电子版ISSN:2065-7471
  • 出版年度:2019
  • 卷号:17
  • 期号:1
  • 页码:148-153
  • 出版社:Mirton Publishing House, Timisoara
  • 摘要:

    In this paper, we proposed a class of ratio estimators for finite population variance. The proposed estimators were obtained by transforming [S+18] estimators. The properties (Bias and Mean Square Errors (MSEs)) of the proposed estimators have been obtained and the conditions for their efficiencies over some existing variance estimators have been established. The efficiencies of proposed estimators based on optimal value of the constant, exhibit significant improvement over the estimators considered in the study. The numerical illustration was also conducted to corroborate the theoretical results. The results of the empirical study show that the proposed estimators are more efficient over existing estimators.

  • 关键词:Efficiency; Auxiliary variable; Median; Mean Square Error; Ratio Estimator
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