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Survey Design under the Regression Superpopulation Model
Abstract
The construction of sample designs and estimators under a linear regression superpopulation model is considered. The anticipated variance, the variance of the predictor computed with respect to the sampling design and the superpopulation model, is used as a criterion for evaluating probability designs and model-unbiased predictors. Regression predictors that are model unbiased and design consistent are constructed.
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Cited by
Calibration Estimators in Survey Sampling
Deville, J.-C., & Särndal, C.-E. (1992) · Journal of the American Statistical Association · doi:10.1080/01621459.1992.10475217 · Cited by 1,735
Weighting for Unequal Selection Probabilities in Multilevel Models
Pfeffermann, D., Skinner, C. J., Holmes, D. J., Goldstein, H., & Rasbash, J. (1998) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00106 · Cited by 438
Aronow, P. M., & Samii, C. (2017) · The Annals of Applied Statistics · doi:10.1214/16-aoas1005 · Cited by 347
“To define a notion of asymptotic growth, we let N tend to infinity, allowing for the experimental design to be reapplied anew to each UN , subject to the conditions defined below [Brewer (1979), Isaki and Fuller (1982)].”
MethodNonresponse weighting adjustment using estimated response probability
Kim, J. K., & Kim, J. J. (2007) · Canadian Journal of Statistics · doi:10.1002/cjs.5550350403 · Cited by 80
Sharp bounds on the variance in randomized experiments
Aronow, P. M., Green, D. P., & Lee, D. K. K. (2014) · The Annals of Statistics · doi:10.1214/13-aos1200 · Cited by 49
Metadata
- Authors
- Isaki, C. T., & Fuller, W. A.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1982-03
- Volume
- 77
- Issue
- 377
- Pages
- 89-96
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2004349386
- Cited by
- 439
- References
- 0
- FWCI
- 4.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- Isaki, C. T., & Fuller, W. A. (1982). Survey Design under the Regression Superpopulation Model. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1982.10477770
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
