Robust methods of building regression models : an application to the housing sector

Ruiz-Castillo, Javier; Peña, Daniel

Robust methods of building regression models : an application to the housing sector

Author(s): Ruiz-Castillo, Javier; Peña, Daniel

Publisher: American Statistical Association

Issued date: 1984-01

Citation: Journal of Business and Economic Statistics, 1984, v. 2, n. 1, pp. 10-20

ISSN: 0735-0015

Review: PeerReviewed

Publisher version: http://www.jstor.org/stable/1391351

Keywords: Outliers , Influential observations , Robust regression , Cook distance , Hedonic price function , Housing market

URI: http://hdl.handle.net/10016/4765

Abstract:

This article studies robustification strategies for the linear model in the presence of outliers. The advantages of an internal analysis of the robustness of least squares for a given sample are pointed out. The application of this methodology is illustrated b [+]

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