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Ordinal principal component analysis theory and an application

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  • Korhonen, Pekka
  • Siljamaki, Aapo

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  • Korhonen, Pekka & Siljamaki, Aapo, 1998. "Ordinal principal component analysis theory and an application," Computational Statistics & Data Analysis, Elsevier, vol. 26(4), pages 411-424, February.
    • Handle: RePEc:eee:csdana:v:26:y:1998:i:4:p:411-424
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    References listed on IDEAS

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    1. Korhonen, Pekka J., 1984. "Subjective principal component analysis," Computational Statistics & Data Analysis, Elsevier, vol. 2(3), pages 243-255, November.
    2. Korhonen, Pekka J., 1986. "A hierarchical interactive method for ranking alternatives with multiple qualitative criteria," European Journal of Operational Research, Elsevier, vol. 24(2), pages 265-276, February.
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    Cited by:

    1. Charpentier, Arthur & Mussard, Stéphane & Ouraga, Téa, 2021. "Principal component analysis: A generalized Gini approach," European Journal of Operational Research, Elsevier, vol. 294(1), pages 236-249.
    2. Agostino Tarsitano & Rosetta Lombardo, 2011. "An Exhaustive Coefficient Of Rank Correlation," Working Papers 201111, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    3. S. K. Mishra, 2010. "(Computer Algorithms) The Most Representative Composite Rank Ordering of Multi-Attribute Objects by the Particle Swarm Optimization Method," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(2), pages 165-200.
    4. Mishra, SK, 2009. "The most representative composite rank ordering of multi-attribute objects by the particle swarm optimization," MPRA Paper 12723, University Library of Munich, Germany.
    5. Tarsitano Agostino & Lombardo Rosetta, 2013. "A Coefficient of Correlation Based on Ratios of Ranks and Anti-ranks," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(2), pages 206-224, April.
    6. Arcagni, Alberto & Avellone, Alessandro & Fattore, Marco, 2022. "Complexity reduction and approximation of multidomain systems of partially ordered data," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
    7. Mishra, SK, 2009. "A note on the ordinal canonical correlation analysis of two sets of ranking scores," MPRA Paper 12796, University Library of Munich, Germany.
    8. Graciela Estévez-Pérez & Philippe Vieu, 2021. "A new way for ranking functional data with applications in diagnostic test," Computational Statistics, Springer, vol. 36(1), pages 127-154, March.

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