References

Billard, L., and E. Diday. 2000. “Regression Analysis for Interval-Valued Data.” In Data Analysis, Classification, and Related Methods, edited by Henk A. L. Kiers, Jean-Paul Rasson, Patrick J. F. Groenen, and Martin Schader, 369–74. Heidelberg: Springer. https://doi.org/10.1007/978-3-642-59789-3_58.

Billard, Lynne, and Edwin Diday. 2007. Symbolic Data Analysis: Conceptual Statistics and Data Mining (Wiley Series in Computational Statistics). John Wiley & Sons.

Blanco-Fernández, Angela, Norberto Corral, and Gil González-Rodrı́guez. 2011. “Estimation of a Flexible Simple Linear Model for Interval Data Based on Set Arithmetic.” Computational. Statistics & Data Analysis 55 (9): 2568–78. https://doi.org/10.1016/j.csda.2011.03.005.

Bock, Hans Hermann. 2000. Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data. Edited by E. Diday. Secaucus, NJ, USA: Springer-Verlag.

Brahim, Brahim, and Sun Makosso-Kallyth. 2013. GPCSIV: GPCSIV, Generalized Principal Component of Symbolic Interval Variables. http://CRAN.R-project.org/package=GPCSIV.

Brito, Paula, and A. Pedro Duarte Silva. 2012. “Modelling Interval Data with Normal and Skew-Normal Distributions.” Journal of Applied Statistics 39 (1): 3–20. https://doi.org/10.1080/02664763.2011.575125.

Diday, Edwin, and Monique Noirhomme-Fraiture. 2008. Symbolic Data Analysis and the Sodas Software. New York, NY, USA: Wiley-Interscience.

Dudek, Andrzej, Marcin Pelka, and Justyna Wilk. 2013. SymbolicDA: Analysis of Symbolic Data. http://CRAN.R-project.org/package=symbolicDA.

Fagundes, Roberta A.A., Renata M.C.R. Souza, and Francisco José A. Cysneiros. 2013. “Robust Regression with Application to Symbolic Interval Data.” Engineering Applications of Artificial Intelligence 26 (1): 564–73. https://doi.org/http://dx.doi.org/10.1016/j.engappai.2012.05.004.

Gil, María Ángeles, Gil González-Rodríguez, Ana Colubi, and Manuel Montenegro. 2007. “Testing Linear Independence in Linear Models with Interval-Valued Data.” Computational Statistics & Data Analysis 51 (6): 3002–15. https://doi.org/http://dx.doi.org/10.1016/j.csda.2006.01.015.

Iwasaki, Masakazu, and Hiroe Tsubaki. 2005. “A New Bivariate Distribution in Natural Exponential Family.” Metrika 61 (3): 323–36. https://doi.org/10.1007/s001840400348.

Lima Neto, Eufrásio Andrade, Gauss M. Cordeiro, and Francisco Assis T. De Carvalho. 2011. “Bivariate Symbolic Regression Models for Interval-Valued Variables.” Journal of Statistical Computation and Simulation 81 (11): 1727–44. https://doi.org/10.1080/00949655.2010.500470.

Lima Neto, Eufrásio Andrade, and Francisco Assis T. De Carvalho. 2008. “Centre and Range Method for Fitting a Linear Regression Model to Symbolic Interval Data.” Computational Statistics & Data Analysis 52 (3): 1500–1515. https://doi.org/http://dx.doi.org/10.1016/j.csda.2007.04.014.

———. 2010. “Constrained Linear Regression Models for Symbolic Interval-Valued Variables.” Computational Statistics & Data Analysis 54 (2): 333–47. https://doi.org/http://dx.doi.org/10.1016/j.csda.2009.08.010.

Lima Neto, Eufrásio Andrade, and Claudio A. Vasconcelos. 2012. IRegression: Regression Methods for Interval-Valued Variables. http://CRAN.R-project.org/package=iRegression.

Maia, André Luis Santiago, and Francisco de A.T. de Carvalho. 2008. “Fitting a Least Absolute Deviation Regression Model on Interval-Valued Data.” In Advances in Artificial Intelligence - Sbia 2008: 19th Brazilian Symposium on Artificial Intelligence Savador, Brazil, October 26-30, 2008. Proceedings, edited by Gerson Zaverucha and Augusto Loureiro da Costa, 207–16. Heidelberg: Springer. https://doi.org/10.1007/978-3-540-88190-2_26.

Queiroz Filho, Ricardo Jorge Almeida, and Roberta Andrade Araujo Fagundes. 2012. ISDA.R: Interval Symbolic Data Analysis for R. http://CRAN.R-project.org/package=ISDA.R.

R Core Team. 2014. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org/.

Rodriguez, Oldemar, Olger Calderon, and Roberto Zuniga. 2014. RSDA: RSDA - R to Symbolic Data Analysis. http://CRAN.R-project.org/package=RSDA.

Silva, Pedro Duarte, and Paula Brito. 2015. MAINT.Data: Model and Analyse Interval Data. http://CRAN.R-project.org/package=MAINT.Data.

Souza, Renata M. C. R., Diego C. F. Queiroz, and Francisco José A. Cysneiros. 2011. “Logistic Regression-Based Pattern Classifiers for Symbolic Interval Data.” Pattern Analysis and Applications 14 (3): 273–82. https://doi.org/10.1007/s10044-011-0222-1.

Sun, Y., and C. Li. 2014. “Linear regression for interval-valued data: a new and comprehensive model.” ArXiv E-Prints, January. http://arxiv.org/abs/1401.1831.

Xu, Wei. 2010. “Symbolic Data Analysis: Interval-Valued Data Regression, Phd. Thesis, University of Georgia, Usa.” PhD.Thesis, University of Georgia.