A new ratio-type imputation with random disturbance

被引：6
|
作者：
Rueda, M. [1 ]
Gonzalez, S. [2 ]
机构：
[1] Univ Granada, Dept Estadist & IO, Fac Ciencias, Granada 18701, Spain
[2] Univ Jaen, Jaen, Spain
来源：
APPLIED MATHEMATICS LETTERS | 2008年 / 21卷 / 09期
关键词：
Auxiliary information; Missing values; Sampling design; Ratio estimator; Random imputation method;
D O I：
10.1016/j.aml.2007.10.013
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this study we consider the problem where two variables can have missing values not necessarily for the same units. We propose a class of imputed estimators by means of a ratio technique with random disturbance. Next we derive the asymptotically optimal estimator into the class. The simulation study shows that the proposed method produces an important increase in efficiency when parameters Such as the median, quartiles and variance are estimated. (c) 2007 Elsevier Ltd. All rights reserved.
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页码：978 / 982
页数：5
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