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Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data

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  • D'Urso, Pierpaolo

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  • D'Urso, Pierpaolo, 2003. "Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data," Computational Statistics & Data Analysis, Elsevier, vol. 42(1-2), pages 47-72, February.
    • Handle: RePEc:eee:csdana:v:42:y:2003:i:1-2:p:47-72
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    1. Liew, Chong K & Shim, Jae K, 1978. "A Computer Program for Inequality Constrained Least-Squares Estimation," Econometrica, Econometric Society, vol. 46(1), pages 237-237, January.
    2. R. L. Bulfin & R. G. Parker & C. M. Shetty, 1979. "Computational results with a branch‐and‐bound algorithm for the general knapsack problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 26(1), pages 41-46, March.
    3. D'Urso, Pierpaolo & Gastaldi, Tommaso, 2000. "A least-squares approach to fuzzy linear regression analysis," Computational Statistics & Data Analysis, Elsevier, vol. 34(4), pages 427-440, October.
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    Cited by:

    1. D'Urso, Pierpaolo & Giordani, Paolo, 2003. "A possibilistic approach to latent structure analysis for symmetric fuzzy data," Economics & Statistics Discussion Papers esdp03014, University of Molise, Department of Economics.
    2. 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.
    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.

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