Introduction to the design and analysis of complex survey data
Skinner, C. J. & Wakefield, J.
(2017).
Introduction to the design and analysis of complex survey data.
Statistical Science,
32(2), 165-175.
https://doi.org/10.1214/17-STS614
We give a brief overview of common sampling designs used in a survey setting, and introduce the principal inferential paradigms under which data from complex surveys may be analyzed. In particular, we distinguish between design-based, model-based and model-assisted approaches. Simple examples highlight the key differences between the approaches. We discuss the interplay between inferential approaches and targets of inference and the important issue of variance estimation.
| Item Type | Article |
|---|---|
| Copyright holders | © 2017 Institute of Mathematical Statistics |
| Departments | LSE > Academic Departments > Statistics |
| DOI | 10.1214/17-STS614 |
| Date Deposited | 15 May 2017 |
| Acceptance Date | 07 Feb 2017 |
| URI | https://researchonline.lse.ac.uk/id/eprint/76991 |
Explore Further
- http://www.lse.ac.uk/Statistics/People/Professor-Chris-Skinner.aspx (Author)
- https://www.scopus.com/pages/publications/85019132739 (Scopus publication)
- http://www.imstat.org/sts/ (Official URL)