A new method of imputation in survey sampling

被引:54
|
作者
Singh, Sarjinder [1 ]
机构
[1] Texas A&I Univ, Dept Math, Kingsville, TX 78363 USA
关键词
estimation of mean; missing data; imputation; ratio-type estimators; bias; mean-squared error;
D O I
10.1080/02331880802605114
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, an alternative estimator of population mean in the presence of non-response has been suggested which comes in the form of Walsh's estimator. The estimator of mean obtained from the proposed technique remains better than the estimators obtained from ratio or mean methods of imputation. The mean-squared error (MSE) of the resultant estimator is less than that of the estimator obtained on the basis of ratio method of imputation for the optimum choice of parameters. An estimator for estimating a parameter involved in the process of new method of imputation has been discussed. A suggestion to form 'warm deck' method of imputation has been suggested. The MSE expressions for the proposed estimators have been derived analytically and compared empirically. The work has been extended to the case of multi-auxiliary information to be used for imputation. Numerical illustrations are also provided.
引用
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页码:499 / 511
页数:13
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