Amputation versus imputation of missing values through ratio method in sample surveys

被引：27
|
作者：
Toutenburg, H.
Srivastava, V. K.
Shalabh
机构：
[1] Univ Munich, Inst Stat, D-80799 Munich, Germany
[2] Univ Lucknow, Dept Stat, Lucknow 226007, Uttar Pradesh, India
[3] Indian Inst Technol, Dept Math & Stat, Kanpur 208016, Uttar Pradesh, India
来源：
STATISTICAL PAPERS | 2008年 / 49卷 / 02期
关键词：
missing data; ratio method; imputation; amputation;
D O I：
10.1007/s00362-006-0009-4
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 article, we consider the estimation of a population mean when some observations on the study characteristic are missing in the bivariate sample data. In all, five estimators are presented and their efficiency properties are discussed. One estimator arises from the the amputation of incomplete observations while the remaining four estimators are formulated using imputed values obtained by the ratio method of estimation.
引用
收藏
页码：237 / 247
页数：11
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