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PUBLICATIONS IN 2013

• Journals/Books 2013
• Proceedings/Abstracts 2013

Journal papers/Books/Book chapters

• Blanco-Fernández, A.; Casals, R.M.; Colubi, A.; Coppi, R.; Corral, N.; de la Rosa de Sáa, S.; D’'Urso, P.P.; Ferraro, M.B.; García-Bárzana, M.; Gil, M.Á.; Giordani, P.; González-Rodríguez, G.; López, M.T.; Lubiano, M.A.; Montenegro, M.; Nakama, T.; Ramos-Guajardo, A.B.; Sinova, B.; Trutschnig, W. (2013). Arithmetic and Distance-Based Approach to the Statistical Analysis of Imprecisely Valued Data. In: Borgelt, C.; Gil, M.Á.; Sousa, J.M.C.; Verleysen, M. (Eds.) Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Studies in Fuzziness and Soft Computing, Vol. 285, pp. 1-18. (doi:10.1007/978-3-642-30278-7_1)
• Blanco-Fernández, A.; Casals, R.M.; Colubi, A.; Corral, N.; García-Bárzana, M.; Gil, M.Á.; González-Rodríguez, G.; López, M.T.; Lubiano, M.A.; Montenegro, M.; Ramos-Guajardo, A.B.; de la Rosa de Sáa, S.; Sinova, B. (2013). Random fuzzy sets: A mathematical tool to develop statistical fuzzy data analysis. Iranian Journal on Fuzzy Systems. Vol. 10(2), pp. 1-28. (doi:10.22111/ijfs.2013.609)
• Blanco-Fernández, A.; Colubi, A.; García-Bárzana, M. (2013). A set arithmetic-based linear regression model for modelling interval-valued responses through real-valued variables. Information Sciences. Vol. 247(20), pp. 109-122. (doi:10.1016/j.ins.2013.06.044)
• Blanco-Fernández, A.; Colubi, A.; García-Bárzana, M.; Montenegro, M. (2013). A linear regression model for interval-valued data based on set arithmetic. In: Kruse, R.; Berthold, M.R.; Moewes, C.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Sinergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, Vol. 190, pp. 105-113. (doi:10.1007/978-3-642-33042-1_12)
• Blanco-Fernández, A.; Colubi, A.; González-Rodríguez, G. (2013). Linear Regression Analysis for Interval-Valued Data Based on Set Aarithmetic: A Review. In: Borgelt, C.; Gil, M.A.; Sousa, J.M.C.; Verleysen, M. (Eds.) Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Studies in Fuzziness and Soft Computing, Vol. 285, pp. 19-31. (doi:10.1007/978-3-642-30278-7_2)
• Blanco-Fernández, A.; Ramos-Guajardo, A.B.; Colubi, A. (2013). Fuzzy representations of real-valued random variables: applications to exploratory and inferential studies. Metron. Vol. 71(3), pp. 245-259. (doi:10.1007/s40300-013-0019-7)
• Borgelt, C.; Gil, M.Á.; Sousa, J.M.C.; Verleysen, M., Editors (2013). Towards Advanced Data Analysis by Combining Soft Computing and Statistics. (Series: Studies in Fuzziness and Soft Computing, Vol. 285), Springer Berlin/Heidelberg (doi:10.1007/978-3-642-30278-7, ISBN: 978-3-642-30277-0)
• Casals, R.M.; Corral, N.; Gil, M.Á.; López, M.T.; Lubiano, M.A.; Montenegro, M.; Naval, G.; Salas, A. (2013). Bertoluzza et al.'s metric as a basis for analyzing fuzzy data. Metron. Vol. 71(3), pp. 307-322. (doi:10.1007/s40300-013-0023-y)
• De Amo, E.; Díaz Carrillo, M.; Fernández-Sánchez, J.; Trutschnig, W. (2013). Some results on homeomorphisms between fractal supports of copulas. Nonlinear Analysis Series A: Theory, Methods & Applications. Vol. 85, pp. 132-144. (doi:10.1016/j.na.2013.02.027)
• De la Rosa de Sáa, S.; Gil, M.A.; López, M.T.; Lubiano, M.A. (2013). Fuzzy rating vs. fuzzy conversion scales: an empirical comparison through the MSE. In: Kruse, R.; Berthold, M.R.; Moewes, C.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Sinergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, Vol. 190, pp. 135-143. (doi:10.1007/978-3-642-33042-1_15)
• De la Rosa de Sáa, S.; Van Aelst, S. (2013). Comparing the Representativeness of the 1-Norm Median for Likert and Free-Response Fuzzy Scales. In: Borgelt, C.; Gil, M.A.; Sousa, J.M.C.; Verleysen, M. (Eds.) Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Studies in Fuzziness and Soft Computing, Vol. 285, pp. 87-98. (doi:10.1007/978-3-642-30278-7_8)
• Durante, F.; Fernández-Sánchez, J.; Trutschnig, W. (2013). On the interrelation between Dempster-Shafer Belief Structures and their Belief Cumulative Distribution Functions. Knowledge-Based Systems, Vol. 52, pp. 107-113. (doi:10.1016/j.knosys.2013.07.012)
• D'Urso, P.; Gil, M.Á., Guest Editors (2013). Editorial of the Special Issue "Fuzzy Statistical Analysis: methods and applications". Metron, Vol. 71(3).
• D'Urso, P.; Gil, M.Á. (2013). Fuzzy Statistical Analysis: methods and Applications. Metron, Vol. 71(3), pp. 197-199. (doi:10.1007/s40300-013-0029-5)
• D'Urso, P.; De Giovanni, L.; Massari, R.; Di Lallo, D. (2013). Noise fuzzy clustering of time series by autoregressive metric. Metron, Vol. 71(3), pp. 217-243. (doi:10.1007/s40300-013-0024-x)
• D'Urso, P.; Massari, R. (2013). Weighted Least Squares and Least Median Squares estimation for the fuzzy linear regression analysis. Metron, Vol. 71(3), pp. 279-306. (doi:10.1007/s40300-013-0025-9)
• Ferraro, M.B.; Coppi, R.; González-Rodríguez, G. (2013). Bootstrap Confidence Intervals for the Parameters of a Linear Regression Model with Fuzzy Random Variables. In: Borgelt, C.; Gil, M.A.; Sousa, J.M.C.; Verleysen, M. (Eds.) Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Studies in Fuzziness and Soft Computing, Vol. 285, pp. 33-42. (doi:10.1007/978-3-642-30278-7_3)
• Ferraro, M.B.; Giordani, P. (2013). A proposal of robust regression for random fuzzy sets. In: Kruse, R.; Berthold, M.R.; Moewes, C.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Sinergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, Vol. 190, pp. 115-123. (doi:10.1007/978-3-642-33042-1_13)
• García-Bárzana, M.; Colubi, A.; Kontoghiorghes, E.J. (2013). On the Estimation of the Regression Model M for Interval Data. In: Borgelt, C.; Gil, M.A.; Sousa, J.M.C.; Verleysen, M. (Eds.) Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Studies in Fuzziness and Soft Computing, Vol. 285, pp. 43-52. (doi:10.1007/978-3-642-30278-7_4)
• Gil, M.Á. (2013). On a Meeting Point between Fuzzy Sets and Statistics. In: Seising, R., Trillas, E., Moraga, C., Termini, S. (Eds.) On Fuzziness. Studies in Fuzziness and Soft Computing, Vol. 298, pp. 199-204. (doi:10.1007/978-3-642-35641-4_30)
• Gil, M.Á., González-Rodríguez, G.; Kruse, R., Guest Editors (2013). Statistics with Imperfect Data (Special Section). Information Sciences, Vol. 245.
• Gil, M.Á., González-Rodríguez, G.; Kruse, R. (2013). Editorial of the Special Issue "Statistics with Imperfect Data". Information Sciences, Vol. 245, pp. 1-3. (doi:10.1016/j.ins.2013.07.001)
• Kruse, R.; Berthold, M.R.; Moewes, C.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O., Editors (2013). Sinergies of Soft Computing and Statistics for Intelligent Data Analysis. (Series: Advances in Intelligent Systems and Computing, Vol. 190), Springer Berlin/Heidelberg (doi:10.1007/978-3-642-33042-1, ISBN: 978-3-642-33041-4)
• Martínez-Camblor, P.; Carleos, C.; Corral, N. (2013). General nonparametric ROC curve comparison. Journal of the Korean Statistical Society. Vol. 42(1), pp. 71-81. (doi:10.1016/j.jkss.2012.05.002)
• Martínez-Camblor, P.; Corral, N.; De la Hera, J.M. (2013). Hypothesis test for paired samples in the presence of missing data. Journal of Applied Statistics. Vol. 40(1), pp. 76-87. (doi:10.1080/02664763.2012.734795)
• Ramos-Guajardo, A.B.; González-Rodríguez, G. (2013). Testing the Variability of Interval Data: An Application to Tidal Fluctuation. In: Borgelt, C.; Gil, M.A.; Sousa, J.M.C.; Verleysen, M. (Eds.) Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Studies in Fuzziness and Soft Computing, Vol. 285, pp. 65-74. (doi:10.1007/978-3-642-30278-7_6)
• Ramos-Guajardo, A.B.; Lubiano, M.A.; González-Rodríguez, G. (2013). Bootstrap comparison of statistics for testing the homoscedasticity of random fuzzy sets. In: Kruse, R.; Berthold, M.R.; Moewes, C.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Sinergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, Vol. 190, pp. 125-133. (doi:10.1007/978-3-642-33042-1_14)
• Sinova, B.; de la Rosa de Sáa, S.; Gil, M.Á. (2013). A generalized L¹-type metric between fuzzy numbers for an approach to central tendency of fuzzy data. Information Sciences, Vol. 242, pp. 22–34. (doi:10.1016/j.ins.2013.03.063)
• Sinova, B.; González-Rodríguez, G.; Van Aelst, S. (2013). An alternative approach to the median of a random interval using an L² metric. In: Kruse, R.; Berthold, M.R.; Moewes, C.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Sinergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, Vol. 190, pp. 273-281. (doi:10.1007/978-3-642-33042-1_30)
• Sinova, B.; Van Aelst, S. (2013). Comparing the Medians of a Random Interval Defined by Means of Two Different L¹ Metrics. In: Borgelt, C.; Gil, M.Á.; Sousa, J.M.C.; Verleysen, M. (Eds.) Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Studies in Fuzziness and Soft Computing, Vol. 285, pp. 75-86. (doi:10.1007/978-3-642-30278-7_7)
• Trutschnig, W. (2013). On Cesáro Convergence of Iterates of the Star Product of Copulas. Statistics and Probability Letters, Vol. 83(1), pp. 357–365. (doi:10.1016/j.spl.2012.09.025)
• Trutschnig, W. (2013). Some smoothing properties of the star product of copulas. In: Kruse, R.; Berthold, M.R.; Moewes, C.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Sinergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, Vol. 190, pp. 349-357. (doi:10.1007/978-3-642-33042-1_38)
• Trutschnig, W.; Fernández-Sánchez, J. (2013). Some results on shuffles of two-dimensional copulas. Journal of Statistical Planning and Inference, Vol. 143(2), pp. 251–260. (doi:10.1016/j.jspi.2012.07.017)
• Trutschnig, W.; Lubiano, M.A.; Lastra, J. (2013). SAFD-An R Package for Statistical Analysis of Fuzzy Data. In: Borgelt, C.; Gil, M.A.; Sousa, J.M.C.; Verleysen, M. (Eds.) Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Studies in Fuzziness and Soft Computing, Vol. 285, pp. 107-118. (doi:10.1007/978-3-642-30278-7_10)

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