Advances in Statistical Models for Data Analysis
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 t
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Isabella Morlini Tommaso Minerva Maurizio Vichi Editors
Advances in Statistical Models for Data Analysis
Studies in Classification, Data Analysis, and Knowledge Organization
Managing Editors
Editorial Board
H.-H. Bock, Aachen W. Gaul, Karlsruhe M. Vichi, Rome C. Weihs, Dortmund
D. Baier, Cottbus F. Critchley, Milton Keynes R. Decker, Bielefeld E. Diday, Paris M. Greenacre, Barcelona C.N. Lauro, Naples J. Meulman, Leiden P. Monari, Bologna S. Nishisato, Toronto N. Ohsumi, Tokyo O. Opitz, Augsburg G. Ritter, Passau M. Schader, Mannheim
More information about this series at http://www.springer.com/series/1564
Isabella Morlini • Tommaso Minerva • Maurizio Vichi Editors
Advances in Statistical Models for Data Analysis
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Editors Isabella Morlini Department of Economics “Marco Biagi” University of Modena & Reggio Emilia Modena, Italy
Tommaso Minerva Department of Communication and Economics University of Modena & Reggio Emilia Reggio Emilia, Italy
Maurizio Vichi Department of Statistics University of Rome “La Sapienza” Roma, Italy
ISSN 1431-8814 Studies in Classification, Data Analysis, and Knowledge Organization ISBN 978-3-319-17376-4 ISBN 978-3-319-17377-1 (eBook) DOI 10.1007/978-3-319-17377-1 Library of Congress Control Number: 2015946232 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
Preface
This volume contains peer-reviewed selected contributions presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society that took place in Modena from September 18 to September 20, 2013. The conference brought together not only theoretical and applied statisticians working in Italy but also a number of specialists coming from nine different countries and was attend
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