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The mixed model for survey regression estimation
- Authors
- Park, Mingue; Fuller, Wayne A.
- Issue Date
- 1-Apr-2009
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- Components of variance model; Regression estimator; Design consistency; BLUP
- Citation
- JOURNAL OF STATISTICAL PLANNING AND INFERENCE, v.139, no.4, pp.1320 - 1331
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF STATISTICAL PLANNING AND INFERENCE
- Volume
- 139
- Number
- 4
- Start Page
- 1320
- End Page
- 1331
- ISSN
- 0378-3758
- Abstract
- Estimation of the population mean under the regression model with random components is considered. Conditions under which the random components regression estimator is design consistent are given. It is shown that consistency holds when incorrect values are used for the variance components. The regression estimator constructed with model parameters that differ considerably from the true parameters performed well in a Monte Carlo study. Variance estimators for the regression predictor are suggested. A variance estimator appropriate for estimators constructed with a biased estimator for the between-group variance component performed well in the Monte Carlo study. (C) 2008 Elsevier B.V. All rights reserved.
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