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  • 标题:A Family of Estimators for Estimating Population Variance Using Auxiliary Information in Sample Survey
  • 本地全文:下载
  • 作者:Hilal A. Lone ; Rajesh Tailor
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2015
  • 卷号:11
  • 期号:2
  • 页码:213-220
  • DOI:10.18187/pjsor.v11i2.786
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:In this article an efficient class of estimators for estimating finite population variance has been proposed using auxiliary information in simple random sampling. The bias and mean squared error of the proposed estimator is obtained up to the first degree of approximation. It has been shown that the proposed estimator is more efficient than usual unbiased estimator, Isaki (J. Am. Stat. Assoc.78:117-123, 1983), Kadilar and Cingi (Appl. Math. & Comput., 173, 1047-1059, 2006) and Upadhyaya and Singh (Vikram Math. J. 19, 14-17, 1999a). To judge the merits of the proposed estimator, we consider one numerical example.
  • 其他摘要:In this article an efficient class of estimators for estimating finite population variance has been proposed using auxiliary information in simple random sampling. The bias and mean squared error of the proposed estimator is obtained up to the first degree of approximation. It has been shown that the proposed estimator is more efficient than usual unbiased estimator, Isaki (J. Am. Stat. Assoc.78:117-123, 1983), Kadilar and Cingi (Appl. Math. & Comput., 173, 1047-1059, 2006) and Upadhyaya and Singh (Vikram Math. J. 19, 14-17, 1999a). To judge the merits of the proposed estimator, we consider one numerical example.
  • 关键词:Mean squared error; Bias; Auxiliary information; ratio-cum-product estimators
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