Statistical inference with non-probability survey samples

被引：0
|
作者：
Wu, Changbao [1 ]
机构：
[1] Univ Waterloo, Dept Stat & Actuarial Sci, Waterloo, ON N2L 3G1, Canada
来源：
SURVEY METHODOLOGY | 2022年 / 48卷 / 02期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Auxiliary information; Bootstrap variance estimator; Calibration method; Doubly robust estimator; Estimating equations; Inverse probability weighting; Model-based prediction; Poststratification; Pseudo likelihood; Propensity score; Quota survey; Sensitivity analysis; Variance estimation; EMPIRICAL LIKELIHOOD INFERENCE; COMBINING DATA; BIG DATA; POPULATION; INTEGRATION; INFORMATION; INTERVALS;
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：
We provide a critical review and some extended discussions on theoretical and practical issues with analysis of non-probability survey samples. We attempt to present rigorous inferential frameworks and valid statistical procedures under commonly used assumptions, and address issues on the justification and verification of assumptions in practical applications. Some current methodological developments are showcased, and problems which require further investigation are mentioned. While the focus of the paper is on non-probability samples, the essential role of probability survey samples with rich and relevant information on auxiliary variables is highlighted.
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页码：283 / 311
页数：31
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