Application of Statistical Binary Tree Analysis to Quality Control

  • Atsushi Ootaki
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


The purpose of this paper is to show how statistical binary tree analysis would be applied in the field of QC. Analysis of discrimination of uncollectible issue of credit loan in sales management is shown, by using Classification And Regression Trees (CART).


Terminal Node Gini Index Misclassification Rate Maximal Tree Misclassification Cost 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Breiuran, L., Friedman, J. H., Olshen, R. A., Stone, C. J. (1984): Classification and Regression Trees,Wadsworth.Google Scholar
  2. California Statistical Software(1994): CART Version 1.310,CalStat, Inc.Google Scholar
  3. Morgan, J. N., Sonquist, J. A. (1963): Problems in the analysis of survey data, and proposal, JASA, 58, 415–434.MATHCrossRefGoogle Scholar
  4. Steinberg, D., Colla, P. (1992): CART, SYSTAT, Inc.Google Scholar

Copyright information

© Springer Japan 1998

Authors and Affiliations

  • Atsushi Ootaki
    • 1
  1. 1.Department of Precision Engineering School of Science and TechnologyMeiji UniversityTama-ku KawasakiJapan

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