Some imputation methods for missing data in sample surveys

被引：12
|
作者：
Singh, G. N. [1 ]
Maurya, S. [1 ]
Khetan, M. [1 ]
Kadilar, Cem [2 ]
机构：
[1] Indian Sch Mines, Dept Appl Math, Dhanbad 826004, Bihar, India
[2] Hacettepe Univ, Dept Stat, Beytepe Campus, TR-06800 Ankara, Turkey
来源：
Hacettepe Journal of Mathematics and Statistics | 2016年 / 45卷 / 06期
关键词：
Imputation; non-response; auxiliary information; bias; mean square error;
D O I：
10.15672/HJMS.20159714095
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The present work suggests some imputation methods to deal with the problems of non-response in sample surveys. The imputation methods presented in this work lead to the precise estimation strategies of population mean. Empirical studies are carried out with the help of data borrowed from natural populations to show the superiorities of the suggested imputation methods over usual mean, ratio and regression methods of imputation in terms of the mean square error criterions. Suitable recommendations have been put forward for the survey practitioners.
引用
收藏
页码：1865 / 1880
页数：16
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