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PUBLICATIONS IN 2002

• Journals/Books 2002
• Proceedings/Abstracts 2002

Journal papers/Books/Book chapters

• Bertoluzza, C.; Gil, M.Á.; Ralescu, D.A., Editors (2002). Statistical Modeling, Analysis and Management of Fuzzy Data (Series: Fuzziness and Soft Computing, Vol. 87). Physica-Verlag. (doi:10.1007/978-3-7908-1800-0, ISBN: 978-3-7908-1440-8)
• Cascos-Fernández, I.; López-Díaz, M.; Gil, M.Á. (2002). On the variation of the f-inequality of a random variable. In Soft Methods in Probability, Statistics and Data Analysis (Grzegorzewski, P., Hryniewicz, O., Gil, M.Á., Eds.). Advances in Soft Computing, Vol. 16, Physica-Verlag, pp. 98-104. (doi:10.1007/978-3-7908-1773-7_7)
• Colubi, A. (2002). Traditional techniques to prove some limit theorems for fuzzy random variables. In Statistical Modeling, Analysis and Management of Fuzzy Data (Bertoluzza, C., Gil, M.Á., Ralescu, D.A., Eds.), Physica-Verlag, pp. 64-71. (doi:10.1007/978-3-7908-1800-0_4)
• Colubi, A.; Domínguez-Menchero, J.S.; López-Díaz, M.; Ralescu, D.A. (2002). A D_[0,1]-representation of random upper semicontinuous functions. Proceedings of the American Mathematical Society, Vol. 130, nº 11, pp. 3237-3242. (doi:10.1090/S0002-9939-02-06429-8)
• Colubi, A.; Fernández-García, C.; Gil, M.Á. (2002). Simulation of random fuzzy variables: an empirical approach to statistical/probabilistic studies with fuzzy experimental data. IEEE Transactions on Fuzzy Systems, Vol. 10, nº 3, pp. 384-390. (doi:10.1109/TFUZZ.2002.1006441)
• Coppi, R. (2002). A theoretical framework for Data Mining: the "Informational Paradigm". Computational Statistics and Data Analysis, Vol. 38, nº 4, pp. 501-515. (doi:10.1016/S0167-9473(01)00075-5)
• Coppi, R.; D’'Urso, P. (2002). Fuzzy K-means clustering models for triangular fuzzy time trajectories. Statistical Methods and Applications. Journal of the Italian Statistical Society, Vol. 11, nº 1, pp. 21-40. (doi:10.1007/BF02511444)
• Coppi, R.; D'’Urso, P. (2002). The dual dynamic factor analysis model. In Classification, Automation and New Media (Gaul, W., Ritter, G., Eds.), Springer-Verlag, pp. 47-58. (doi:10.1007/978-3-642-55991-4_5)
• D'’Urso, P.; Gastaldi, T. (2002). An "orderwise" polynomial regression procedure for fuzzy data. Fuzzy Sets and Systems, Vol. 130, nº 1, pp. 1-19. (doi:10.1016/S0165-0114(02)00055-6)
• Esteban, E.; Fra, J.; Corral, N.; Valle, M.; Carrasco, J.; Sala, M; Puerta, J.; Estrada, E.; Palacio, I.; Vieitez, J.M.; Buesa, J.M.; Lacave, J.M. (2002). Phase I/II Study of Gemcitabine plus Vinorelbine in Non-Small Cell Lung Cancer. Investigational New Drugs, Vol. 20, nº 1, pp. 73-82. (doi:10.1023/A:1014490417342)
• Esteban, E.; Fra, J.; Sala, M; Carrasco, J.; Corral, N.; Vieitez, J.M.; Estrada, E.; Palacio, I.; Buesa, J.M.; Lacave, J.M. (2002). Phase I/II Study of Gemcitabine and Vinorelbine Plus Cisplatin in Non-Small Cell Lung Cancer. Investigational New Drugs, Vol. 20, nº 3, pp. 317-326. (doi:10.1023/A:1016205817347)
• Gil, M.Á.; Lubiano, M.A.; Montenegro, M.; López, M.T. (2002). Least squares fitting of an affine function and strength of association for interval-valued data. Metrika, Vol. 56, nº 2, pp. 97-111. (doi:10.1007/s001840100160)
• Grzegorzewski, P.; Hryniewicz, O.; Gil, M.Á., Editors (2002). Soft Methods in Probability, Statistics and Data Analysis (Series: Advances in Soft Computing, Vol. 16). Physica-Verlag. (doi:10.1007/978-3-7908-1773-7, ISBN: 978-3-7908-1526-9)
• Lubiano, M.A.; Gil, M.Á. (2002). f-Inequality indices for fuzzy random variables. In Statistical Modeling, Analysis and Management of Fuzzy Data (Bertoluzza, C., Gil, M.Á., Ralescu, D.A., Eds.), Physica-Verlag, pp. 43-63. (doi:10.1007/978-3-7908-1800-0_3)
• Montenegro, M.; Gil, M.Á.; López, M.T.; Lubiano, M.A. (2002). Quantifying the linear correlation between two interval-valued random sets. In Technologies for Constructing Intelligent Systems 2 - Tools (Bouchon-Meunier, B., Gutierrez-Rios, J., Magdalena, L., Yager, R.R., Eds.), Springer-Verlag, pp. 99-108. (doi:10.1007/978-3-7908-1796-6_8)
• Montenegro, M.; Colubi, A.; Casals, R.; Gil, M.Á. (2002). Test of one-sided hypotheses on the expected value of a fuzzy random variable. In Soft Methods in Probability, Statistics and Data Analysis(Grzegorzewski, P., Hryniewicz, O., Gil, M.Á., Eds.). Advances in Soft Computing, Vol. 16, Physica-Verlag, pp. 228-235. (doi:10.1007/978-3-7908-1773-7_22)
• Rodríguez-Muñiz, L.J.; López-Díaz, M.; Gil, M.Á. (2002). Reversing the order of integration in iterated expectations of compact convex random sets. In Soft Methods in Probability, Statistics and Data Analysis (Grzegorzewski, P., Hryniewicz, O., Gil, M.Á., Eds.). Advances in Soft Computing, Vol. 16, Physica-Verlag, pp. 140-145. (doi:10.1007/978-3-7908-1773-7_12)
• Salas, A.; Corral, N.; Bertoluzza, C. (2002). Linear regresión in a fuzzy context. The least square method. In Statistical Modeling, Analysis and Management of Fuzzy Data (Bertoluzza, C., Gil, M.Á., Ralescu, D.A., Eds.), Physica-Verlag, pp. 255-281. (doi:10.1007/978-3-7908-1800-0_17)

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