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Leverage and Breakdown in L 1 Regression

1992; Volume: 87; Issue: 417 Linguagem: Inglês

10.1080/01621459.1992.10475185

1537-274X

Steven P. Ellis, Stephan Morgenthaler,

Optimal Experimental Design Methods

Abstract In this article the notion of leverage of a design point when fitting a linear regression model is interpreted geometrically. In the case of least squares fitting, the leverage indicators based on the diagonal of the hat matrix are widely applied. By interpreting these hat matrix indicators geometrically, leverage can be generalized to groups of design points, as well as to other methods of fitting. The article introduces a leverage indicator that is appropriate for L 1 regression and discusses some aspects of this new diagnostic. It is shown that, in the case of L 1 regression, the leverage indicators have a precise interpretation. They tell us about the breakdown and/or the exactness of fit. As an application, the article considers the maximal possible breakdown value of L 1 regression and the choice of designs that achieve this maximum.