EXAMINING SOME ASPECTS OF BALANCED SAMPLING IN SURVEYS

被引：6

作者：

Chauvet, Guillaume ^{[1
]}

Haziza, David ^{[2
]}

Lesage, Eric ^{[3
]}

机构：

[1] ENSAI IRMAR, Campus Ker Lann, F-35170 Bruz, France

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

[3] INSEE, 18 Bd Adolphe Pinard, F-75014 Paris, France

来源：

STATISTICA SINICA | 2017年 / 27卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Cube algorithm; design-based inference; greg estimator; inclusion probability; Monte Carlo approximation; rejective sampling; VARIANCE-ESTIMATION; CUBE METHOD;

D O I：

10.5705/ss.2013.244

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：

Balanced sampling has received some attention in recent years. There exists a number of procedures leading to a balanced or approximately balanced sample. In this paper, we examine the design-based properties of several estimation procedures under balanced sampling. The results of an extensive simulation study that compares different estimators are presented.

引用

页码：313 / 334

页数：22

共 18 条

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