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The mixed model for survey regression estimation

Authors
Park, MingueFuller, Wayne A.
Issue Date
1-4월-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
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/120263
DOI
10.1016/j.jspi.2008.02.021
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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