Weighted Hot-Deck Imputation in Farm and Fishery Household Economy Surveys

被引:0
|
作者
Kim, Kyu-Seong [1 ]
Lee, Kee-Jae [2 ]
Kim, Jin [3 ]
机构
[1] Univ Seoul, Dept Stat, 90 Jeonnong Dong, Seoul 130743, South Korea
[2] Korea Natl Open Univ, Dept Informat Stat, Seoul 110791, South Korea
[3] Korea Natl Stat Off, Field Management & Sampling Devis, Daejeon 302701, South Korea
关键词
Decision tree model; Imputation class; Jackknife variance estimation;
D O I
暂无
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
This paper deals with a treatment of nonresponse in farm and fishery household economy surveys in Korea. Since the samples in two surveys were selected by stratified multi-stage sampling and weighted sample means has been used to estimate the population means, we choose a weighted hot-deck imputation method as an appropriate method for two surveys. We investigate the procedure of the weighted hot-deck as well as an adjusted jackknife method for variance estimation. Through an empirical study we found that the method worked very well in both mean and variance estimation in two surveys. In addition, we presented a procedure of forming imputation class and formed four imputation classes for each survey and then compared them with analysis. As a result, we presented two most efficient imputation classes for two surveys.
引用
收藏
页码:311 / 328
页数:18
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