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  • 标题:A Class of Estimators for Estimating the Variance of the Ratio Estimator
  • 本地全文:下载
  • 作者:Lakshmi N. Upadhyaya ; Housila P. Singh ; Sarjinder Singh
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:2004
  • 卷号:34
  • 期号:1
  • 页码:47-63
  • DOI:10.14490/jjss.34.47
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:

    In this paper we have proposed a class of estimators for the variance of the ratio estimator which includes two standard estimators V 0, V 2 and the estimators VH and V 3 suggested by Royall and Eberhardt (1975) and Wu (1982) respectively. Under large sample approximation, the bias and mean-squared error of the proposed class of estimators are obtained. Based on this we obtain optimal variance estimator in the class and compare the relative merits with a number of estimators. For illustration an empirical study is provided. Here we confine ourselves to sampling scheme SRSWOR ignoring finite population correction.

  • 关键词:class of estimators; estimation of variance; ratio and regression type estimators
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