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文章基本信息

  • 标题:Improved Variance Estimator using Linear Combination of Tri-mean and Quartile Average
  • 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:142-147
  • 出版社:Mirton Publishing House, Timisoara
  • 摘要:

    In this paper, we proposed a ratio cum product estimator for estimating finite population variance. The proposed estimator was obtained by transforming [MS17] estimator. The bias and mean square error (MSE) of the proposed estimator has been obtained and the conditions for it efficiency over some existing variance estimators have been established. The efficiency of proposed estimator 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 estimator is more efficient over existing estimators.

  • 关键词:Tri;mean; Quartile; Mean Square Error; Efficiency; Variance
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