Regression Coefficient Estimation in Dual Frame Surveys

被引：2

作者：

Lu, Yan ^{[1
]}

机构：

[1] Univ New Mexico, Dept Math & Stat, Albuquerque, NM 87131 USA

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2014年 / 43卷 / 07期

关键词：

Cross validation; Dual frame surveys; Prediction error; Regression coefficient; Simulations; SAMPLE-SURVEYS;

D O I：

10.1080/03610918.2012.752835

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：

Dual frame surveys, in which independent samples are selected from two frames to decrease survey costs or to improve coverage, can present challenges for regression coefficient estimation because of complex designs and unknown degree of overlap. In this research, we developed four regression coefficient estimators in dual frame surveys. Simulation results show that all the proposed methods work well.

引用

页码：1675 / 1684

页数：10

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