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Stern School of Business >
IOMS: Statistics Working Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/14776

Title: Alternative Methods of Linear Regression
Authors: Giloni, A.
Padberg, M.
Keywords: lı-, l2-, l∞-regression
Linear programming
Issue Date: May-2001
Publisher: Stern School of Business, New York University
Series/Report no.: SOR-98-3
Abstract: This paper is a survey on traditional linear regression techniques using the lı-, l2-, and l∞-norm. We derive the characterization of the respective regression estimates (including optimality and uniqueness criteria), as well as discuss some of their statistical properties.
URI: http://hdl.handle.net/2451/14776
Appears in Collections:IOMS: Statistics Working Papers

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