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Ridge regression estimation for survey samples

Authors
Park, MingueYang, Min
Issue Date
2008
Publisher
TAYLOR & FRANCIS INC
Keywords
design consistency; model MSE; regression superpopulation model; ridge regression
Citation
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, v.37, no.4, pp.532 - 543
Indexed
SCIE
SCOPUS
Journal Title
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
Volume
37
Number
4
Start Page
532
End Page
543
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/125548
DOI
10.1080/03610920701669694
ISSN
0361-0926
Abstract
This paper describes procedure for constructing a vector of regression weights. Under the regression superpopulation model, the ridge regression estimator that has minimum model mean squared error is derived. Through a simulation study, we compare the ridge regression weights, regression weights, quadratic programming weights, and raking ratio weights. The ridge regression procedure with weights bounded by zero performed very well.
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College of Political Science & Economics > Department of Statistics > 1. Journal Articles

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