The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
An Evaluation of Model-Dependent and Probability-Sampling Inferences in Sample Surveys
Abstract
In this paper we are concerned with inferences from a sample survey to a finite population. We contrast inferences that are dependent on an assumed model with inferences based on the randomization induced by the sample selection plan. Randomization consistency for finite population estimators is defined and adopted as a requirement of probability sampling. A numerical example is examined to illustrate the dangers in the use of model-dependent estimators even when the model is apparently consonant with the sample data. The paper concludes with a summary of principles that we believe should guide the practitioner of sample surveys of finite populations.
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Cites
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Neyman, J. (1934) · Journal of the Royal Statistical Society · doi:10.2307/2342192 · Cited by 1,086
Rao, J. N. K., & Scott, A. J. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477633 · Cited by 1,007
Scandinavian Journal of Statistics
(2010) · Scandinavian Journal of Statistics · doi:10.1111/(issn)1467-9469 · Cited by 976
Neyman, J. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_12 · Cited by 932
On the Theory of Sampling from Finite Populations
Hansen, M. H., & Hurwitz, W. N. (1943) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177731356 · Cited by 603
Self-citationFoundations of Statistical Inference.
Stone, M., Godambe, V. P., & Sprott, D. A. (1972) · Biometrika · doi:10.2307/2334645 · Cited by 556
Sample Survey Methods and Theory
Kish, L., Hansen, M. H., Hurwitz, W. N., & Madow, W. G. (1954) · Journal of Marketing · doi:10.2307/1247936 · Cited by 534
Self-citationInference from Complex Samples
Kish, L., & Frankel, M. R. (1974) · Journal of the Royal Statistical Society: Series B (Methodological) · doi:10.1111/j.2517-6161.1974.tb00981.x · Cited by 520
On finite population sampling theory under certain linear regression models
ROYALL, R. M. (1970) · Biometrika · doi:10.1093/biomet/57.2.377 · Cited by 435
Cited by
Complex Sample Data in Structural Equation Modeling
Muthen, B. O., & Satorra, A. (1995) · Sociological Methodology · doi:10.2307/271070 · Cited by 1,586
Spatial data analysis: theory and practice
(2004) · Choice Reviews Online · doi:10.5860/choice.41-3486 · Cited by 965
Using GIS to Generate Spatially Balanced Random Survey Designs for Natural Resource Applications
Theobald, D. M., Stevens, D. L., White, D., Urquhart, N. S., Olsen, A. R., & Norman, J. B. (2007) · Environmental Management · doi:10.1007/s00267-005-0199-x · Cited by 181
Metadata
- Authors
- Hansen, M. H., Madow, W. G., & Tepping, B. J.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1983-12
- Volume
- 78
- Issue
- 384
- Pages
- 776-793
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2060882825
- Cited by
- 366
- References
- 22
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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