Survey Methodology
Sample design using models
- Release date: December 20, 2024
Abstract
Joseph Waksberg was an important figure in survey statistics mainly through his applied work in the design of samples. He took a design-based approach to sample design by emphasizing uses of randomization with the goal of creating estimators with good design-based properties. Since his time on the scene, advances have been made in the use of models to construct designs and in software to implement elaborate designs. This paper reviews uses of models in balanced sampling, cutoff samples, stratification using models, multistage sampling, and mathematical programming for determining sample sizes and allocations.
Key Words: Anticipated variances; Balanced samples; Cutoff samples; Design-based; Mathematical programming; Model-assisted; Model-based.
Table of contents
- Section 1. Introduction
- Section 2. Balanced samples
- Section 3. Cutoff samples
- Section 4. Stratification using models
- Section 5. Multistage sampling and anticipated variances
- Section 6. Mathematical programming solutions for sample allocations
- Section 7. Summary
- Acknowledgements
- References
How to cite
Valliant, R. (2024). Sample design using models. Survey Methodology, 50(2), 149-183. Paper available at http://www.statcan.gc.ca/pub/12-001-x/2024002/article/00016-eng.pdf.
Note
- Date modified: