5 Introduction to positive-breakdown methods

Volume: 15, Pages: 101 - 121
Published: Jan 1, 1997
Abstract
Publisher Summary null null This chapter discusses positive-breakdown methods. It focusses on the linear regression model. The goal of positive-breakdown methods is to be robust against the possibility of one or several unannounced outliers that may occur anywhere in the data. High-breakdown regression does not throw away 50% of the data, but instead it finds a majority fit, which can then be used to detect the actual outliers. The purpose of...
Paper Fields
Paper Details
Title
5 Introduction to positive-breakdown methods
Published Date
Jan 1, 1997
Volume
15
Pages
101 - 121
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.