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Research on analysis for quality information by new statistical approach

Research Project

Project/Area Number 11680460
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field 社会システム工学
Research InstitutionOsaka Electro-Communication University

Principal Investigator

IHARA Masamori  Dept. of Information Scinence and Arts, Osaka Electro-Communication University, Prof., 総合情報学部, 教授 (40184791)

Project Period (FY) 1999 – 2001
Project Status Completed (Fiscal Year 2001)
Budget Amount *help
¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 2001: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2000: ¥700,000 (Direct Cost: ¥700,000)
KeywordsPost-stratification / Linear Structural Equation Modeling / Factor analysis model / Identifiabkity / 主成分分析法 / 抽出すべき主成分の数 / 横断的データ
Research Abstract

We were able to clarify causes where some subpopulation occurred from a population., Meredith(1964) shows results of research in The Psyckometrika, in the "selection" case and which Little (1972, Biometrika) shows some basic resuluts by using ideas of missing data and Dempster et.al (1984, JRSS) also gives EM algorithm for the missing data
In this research, in a Linear Structure Equation Model including a factor analysis or a covariance structure analysis model, We did a study about extraction of quality information by classifying by stratum after a thing
We already announced one part of results of research in No. 13 and No. 14 Asia quality control symposium and announced it in last year held international psychometrics party (2001 IMP S)
We presented some conditions that a factor analysis model could hold in a subpopulation drawn by post-stratification if a factor analysis model held in whole population when we classified population by a value of one part of observation vector according to approach of Muthen et al (1989:Psychometrika) and Mereidth (1964). Moreover, if a suitable condition was concluded, the factor analysis model clarified that it was not it with a model with an impropriety solution
Furthermore, we applied this way of thinking to a linear structure equation model and suggested experimental planning to do optimum design of a product package and a method of analysis that fused (now I am contributing an article.)
Now we study heterogeneity of approach by, missing data and aproach by selection and a homogeneity

Report

(4 results)
  • 2001 Annual Research Report   Final Research Report Summary
  • 2000 Annual Research Report
  • 1999 Annual Research Report
  • Research Products

    (15 results)

All Other

All Publications (15 results)

  • [Publications] Yamarai, Y., Ihara, M.: "Application of multivariate analysis methods to package designing"Proc. International Meeting of the Psychometrika. 86 (2001)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] Mizushima, S., Ihara, M.: "A necessary and sufficient condition for identification in confirmatory factor analysis model"Proc. International Meeting of the Psychometrika. 241 (2001)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] Yamarai, Y, Ihara, M: "Analysis of difference of design factors across groups"Proceedings of 13^<th> Asia Quality Symposium. 38-41 (1999)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] Yamarai.Y, Ihara, M: "Analysis of structures of cross sectional data for package valuation"Proceedings of 14^<th> Asia Quality Symposium. 197-200 (2000)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] Ihara, M., Ymamane, T.: "Determining of the number of components in principal component analysis"Proceedings of 14^<th> Asia Quality Symposium. 456-461 (2000)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] Yamarai, Y and Ihara, M: "Application of multivariate analysis methods to package designing"Proceeding of international Meeting of the Psychometrika. 241-241 (2001)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] Mizushima, S and Ihara, M.: "A necessary and sufficient condition for identification in confirmatory factor analysis model"Proceeding of international Meeting of the Psychometrika. 86-86 (2001)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] Yamarai, Y and Iahra, M.: "Analysis of difference of design factors across groups"Proceeding of 13^<th> Asia Quality Symposium. 38-41 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] Ihara, M. and Ymamane, T.: "Determining of the number of components in principal component analysis"Proceedings of 13^<th> Asia Quality Symposium. 456-461 (2000)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] Yamarai, Y and Ihara, M: "Analysis of structures of cross sectional data for package valuation"Proceedigs of 14^<th> Asia Quality Symposium. 197-200 (2000)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] Yamarai, Y., Ihara, M.: "Application of multivariate analysis methods to package designing"Proc. International Meeting of the Psychometrika. 86-86 (2001)

    • Related Report
      2001 Annual Research Report
  • [Publications] Mizushima, S., Ihara, M.: "A necessary and sufficient condition for identification in confirmatory factor analysis model"Proc. International Meeting of the Psychometrika. 241-241 (2001)

    • Related Report
      2001 Annual Research Report
  • [Publications] Y.Yamarai and M.Ihara : "Analysis of difference of design factors across groups"Proceedings of 13-Asia Quality Symposium . 38-41 (2000)

    • Related Report
      2000 Annual Research Report
  • [Publications] M.Ihara and T.Yamane: "Determining of the number of components in principal component analysisi "Proceedings of 13-Asia Quality Symposium. 452-456 (2000)

    • Related Report
      2000 Annual Research Report
  • [Publications] Yamari Y.and Ihara M.: "Analysis of differences of design factors across groups"Proc.of 13th Asian Quality Management Symp.. 38-41 (1999)

    • Related Report
      1999 Annual Research Report

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Published: 2000-04-01   Modified: 2016-04-21  

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