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Title: Graphical methods for the sensitivity analysis in discriminant analysis

Similar to regression, many measures to detect influential data points in discriminant analysis have been developed. Many follow similar principles as the diagnostic measures used in linear regression in the context of discriminant analysis. Here we focus on the impact on the predicted classification posterior probability when a data point is omitted. The new method is intuitive and easily interpretative compared to existing methods. We also propose a graphical display to show the individual movement of the posterior probability of other data points when a specific data point is omitted. This enables the summaries to capture the overall pattern of the change.
 [1] ;  [2] ;  [3]
  1. Chung-Ang Univ., Seoul (Korea)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Pukyong National Univ., Busan (Korea)
Publication Date:
OSTI Identifier:
Report Number(s):
Journal ID: ISSN 2287-7843
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Communications for Statistical Applications and Methods
Additional Journal Information:
Journal Volume: 22; Journal Issue: 5; Journal ID: ISSN 2287-7843
Korean International Statistical Society
Research Org:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org:
Country of Publication:
United States
97 MATHEMATICS AND COMPUTING discriminant analysis; influence detection measure; individual movement plot; influential observations