Identification of Outliers in Multivariate Data

Volume: 91, Issue: 435, Pages: 1047 - 1061
Published: Sep 1, 1996
Abstract
New insights are given into why the problem of detecting multivariate outliers can be difficult and why the difficulty increases with the dimension of the data. Significant improvements in methods for detecting outliers are described, and extensive simulation experiments demonstrate that a hybrid method extends the practical boundaries of outlier detection capabilities. Based on simulation results and examples from the literature, the question...
Paper Details
Title
Identification of Outliers in Multivariate Data
Published Date
Sep 1, 1996
Volume
91
Issue
435
Pages
1047 - 1061
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.