The mixed model for survey regression estimation

Citations

WEB OF SCIENCE

11
Citations

SCOPUS

13

초록

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.

키워드

Components of variance modelRegression estimatorDesign consistencyBLUPFINITE POPULATIONSSAMPLING THEORYPREDICTION
제목
The mixed model for survey regression estimation
저자
Park, MingueFuller, Wayne A.
DOI
10.1016/j.jspi.2008.02.021
발행일
2009-04-01
유형
Article
저널명
Journal of Statistical Planning and Inference
139
4
페이지
1320 ~ 1331