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Component Models for Fuzzy Data

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Author Info
Renato Coppi
Paolo Giordani ()
Pierpaolo D’Urso
Abstract

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File URL: http://hdl.handle.net/10.1007/s11336-003-1105-1
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Publisher Info
Article provided by Springer in its journal Psychometrika.

Volume (Year): 71 (2006)
Issue (Month): 4 (December)
Pages: 733-761
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Handle: RePEc:spr:psycho:v:71:y:2006:i:4:p:733-761

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Related research
Keywords: informational paradigm; fuzzy data; distance measure for fuzzy data; principal component analysis; least squares approach;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Manuel Montenegro & Ana Colubi & María Rosa Casals & María Ángeles Gil, 2004. "Asymptotic and Bootstrap techniques for testing the expected value of a fuzzy random variable," Metrika, Springer, vol. 59(1), pages 31-49, 02. [Downloadable!] (restricted)
  2. Coppi, Renato, 2002. "A theoretical framework for Data Mining: the "Informational Paradigm"," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 501-515, February. [Downloadable!] (restricted)
  3. Giordani, Paolo & Kiers, Henk A. L., 2004. "Principal Component Analysis of symmetric fuzzy data," Computational Statistics & Data Analysis, Elsevier, vol. 45(3), pages 519-548, April. [Downloadable!] (restricted)
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Ana Colubi & Renato Coppi & Pierpaolo D’urso & Maria angeles Gil, 2007. "Statistics with fuzzy random variables," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 277-303. [Downloadable!]
Statistics
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This page was last updated on 2009-11-27.

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