A note on the concept of invariance in two-phase sampling designs

被引：0

作者：

Beaumont, Jean-Francois ^{[1
]}

Haziza, David ^{[2
]}

机构：

[1] STAT Canada, Int Cooperat & Corp Stat Methods Div, 100 Tunneys Pasture Driveway,RH Coats Bldg, Ottawa, ON K1A 0T6, Canada

[2] Univ Montreal, Dept Math & Stat, Montreal, PQ H3C 3J7, Canada

来源：

SURVEY METHODOLOGY | 2016年 / 42卷 / 02期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Double expansion estimator; Horvitz-Thompson estimator; Strong invariance; Two-phase sampling; Weak invariance;

D O I：

暂无

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

Two-phase sampling designs are often used in surveys when the sampling frame contains little or no auxiliary information. In this note, we shed some light on the concept of invariance, which is often mentioned in the context of two-phase sampling designs. We define two types of invariant two-phase designs: strongly invariant and weakly invariant two-phase designs. Some examples are given. Finally, we describe the implications of strong and weak invariance from an inference point of view.

引用

页码：319 / 323

页数：5