Hansen Lecture 2022: The Evolution of the Use of Models in Survey Sampling

Author:

Valliant Richard1

Affiliation:

1. University of Michigan Research Prof. Emeritus at the , Ann Arbor, MI, USA and University of Maryland, College Park, MD, USA

Abstract

Abstract Morris Hansen made seminal contributions to the early development of sampling theory, including convincing government survey administrators to use probability sampling as opposed to nonprobability (NP) methods like quota sampling. He codified many of the early results in design-based sampling theory in his 1953 two-volume set co-authored with Hurwitz and Madow. Since those developments, the explicit use of models has proliferated in sampling for use in basic point estimation, nonresponse and noncoverage adjustment, imputation, and a variety of other areas. This paper summarizes some of the early developments, controversies in the design-based versus model-based debate, and uses of models for inference from probability and NP samples.

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Social Sciences (miscellaneous),Statistics and Probability

Reference119 articles.

1. Indices of Non-Ignorable Selection Bias for Proportions Estimated from Non-Probability Samples;Andridge;Journal of the Royal Statistical Society C,2019

2. A Framework for Cut-off Sampling in Business Survey Design;Benedetti;Journal of Official Statistics,2010

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Morris Hansen Lecture 2023: Model Selection and Its Important Roles in Surveys;Journal of Survey Statistics and Methodology;2024-08-10

2. Modeling in Sample Surveys: Discussion of Professor Valliant’s Hansen Lecture 2022;Journal of Survey Statistics and Methodology;2024-01-27

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