Advances in Statistical Models for Data Analysis

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Morlini, Isabella (Επιμελητής έκδοσης), Minerva, Tommaso (Επιμελητής έκδοσης), Vichi, Maurizio (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Studies in Classification, Data Analysis, and Knowledge Organization,
• Θέματα: Statistics.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
• Φυσική περιγραφή: VIII, 268 p. 49 illus., 13 illus. in color. online resource.
• ISBN: 9783319173771
• ISSN: 1431-8814

This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.