An improved estimator to analyse missing data

被引：9

作者：

Gonzalez, S. ^{[2
]}

Rueda, M. ^{[1
]}

Arcos, A. ^{[1
]}

机构：

[1] Univ Granada, Granada, Spain

[2] Univ Jaen, Jaen, Spain

来源：

STATISTICAL PAPERS | 2008年 / 49卷 / 04期

关键词：

Auxiliary Variable; Simple Random Sampling; Auxiliary Information; Improve Estimator; Relative Mean Square Error;

D O I：

10.1007/s00362-007-0045-8

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：

Missing data due to nonresponse, though undesirable, is a reality of any survey. In this paper we consider a situation in which, at a given time, observations are missing for one of the several auxiliary characteristics; thus the 'missing' phenomenon occurs for the characteristics separately but not simultaneously. A new method, making use of all the available observations, is proposed. A simulation study based on three real populations was performed to test the proposed technique.

引用

页码：791 / 796

页数：6

共 6 条

[1]

Little R., 1987, STAT ANAL MISSING DA

[2]

Rao J.N.K., 1994, J. Official Stat, V10, P153

[3] Missing data and auxiliary information in surveys [J].