コレスポンデンス分析における変数選択規準の検討  [in Japanese] Considering variable selection criteria in correspondence analysis  [in Japanese]

Access this Article

Search this Article

Abstract

Ordinary goodness of fit criteria in correspondence analysis are considered as variable selection criteria in case correspondence analysis which is one of multivariate methods without external variables can be applied. The goodness of fit criteria focused here are proportion of cumulative eigenvalues, proportion of cumulative squared-eigenvalues and proportion of cumulative off-diagonal fitness. Each criterion is applied to a couple of real data sets and evaluated with interpretation of the selection process and result (selected subset of variables). Four selection procedures such as backward elimination and forward-backward selection are also performed to compare with each other as well as with all possible selection procedure. These results illustrate that the criteria can be used as selection criteria to select a subset of variables in correspondence analysis and to assess categorical items (questions) in a survey (questionnaire).

Journal

  • Journal of the Faculty of Environmental Science and Technology,Okayama University

    Journal of the Faculty of Environmental Science and Technology,Okayama University 10(1), 49-56, 2005-02

    岡山大学環境理工学部

Codes

  • NII Article ID (NAID)
    120002313834
  • NII NACSIS-CAT ID (NCID)
    AN10529213
  • Text Lang
    JPN
  • Article Type
    departmental bulletin paper
  • Journal Type
    大学紀要
  • ISSN
    13419099
  • NDL Article ID
    7324323
  • NDL Source Classification
    ZV1(一般学術誌--一般学術誌・大学紀要)
  • NDL Call No.
    Z22-B196
  • Data Source
    NDL  IR 
Page Top