The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Small Area Estimation‐New Developments and Directions
Open accessAbstract
Summary: The purpose of this paper is to provide a critical review of the main advances in small area estimation (SAE) methods in recent years. We also discuss some of the earlier developments, which serve as a necessary background for the new studies. The review focuses on model dependent methods with special emphasis on point prediction of the target area quantities, and mean square error assessments. The new models considered are models used for discrete measurements, time series models and models that arise under informative sampling. The possible gains from modeling the correlations among small area random effects used to represent the unexplained variation of the small area target quantities are examined. For review and appraisal of the earlier methods used for SAE, see Ghosh & Rao (1994).
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Cites
Time Series Analysis: Forecasting and Control
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Sampling-based approaches to calculating marginal densities
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Therneau, T. M., McCullagh, P., & Nelder, J. A. (1993) · Journal of the American Statistical Association · doi:10.2307/2290358 · Cited by 4,907
Best Linear Unbiased Estimation and Prediction under a Selection Model
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Metadata
- Authors
- Pfeffermann, D.
- Venue
- International Statistical Review
- Publisher
- Wiley
- Published
- 2002-04
- Volume
- 70
- Issue
- 1
- Pages
- 125-143
- ISSN
- 0306-7734 (ISSN-L)
- 1751-5823
- OpenAlex
- W2108569655
- Cited by
- 255
- References
- 35
- FWCI
- 6.48
- Type
- journal article
- Language
- en
- Open access
- bronze
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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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