Skip navigation
FDA
  1. Faculty Digital Archive : NYU Libraries
  2. Communities & Collections
  3. Stern School of Business
  4. IOMS: Statistics Working Papers
  5. Alternative Methods of Linear Regression
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGiloni, A.-
dc.contributor.authorPadberg, M.-
dc.date.accessioned2006-06-21T20:09:11Z-
dc.date.available2006-06-21T20:09:11Z-
dc.date.issued2001-05-
dc.identifier.urihttp://hdl.handle.net/2451/14776-
dc.description.abstractThis 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.en
dc.format.extent1274913 bytes-
dc.format.mimetypeapplication/pdf-
dc.languageEnglishEN
dc.language.isoen
dc.publisherStern School of Business, New York Universityen
dc.relation.ispartofseriesSOR-98-3en
dc.subjectlı-, l2-, l∞-regressionen
dc.subjectLinear programmingen
dc.titleAlternative Methods of Linear Regressionen
dc.typeWorking Paperen
dc.description.seriesStatistics Working Papers SeriesEN
Appears in Collections:IOMS: Statistics Working Papers

Files in This Item:
File Description SizeFormat 
SOR-98-3.pdf1.25 MBAdobe PDFView/Open
Show simple item record


Items in FDA are protected by copyright, with all rights reserved, unless otherwise indicated.