Advances in Time Series Analysis and Forecasting Selected Contributi
This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multiv
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Ignacio Rojas Héctor Pomares Olga Valenzuela Editors
Advances in Time Series Analysis and Forecasting Selected Contributions from ITISE 2016
Contributions to Statistics
The series Contributions to Statistics contains publications in theoretical and applied statistics, including for example applications in medical statistics, biometrics, econometrics and computational statistics. These publications are primarily monographs and multiple author works containing new research results, but conference and congress reports are also considered. Apart from the contribution to scientific progress presented, it is a notable characteristic of the series that publishing time is very short, permitting authors and editors to present their results without delay.
More information about this series at http://www.springer.com/series/2912
Ignacio Rojas Héctor Pomares Olga Valenzuela •
Editors
Advances in Time Series Analysis and Forecasting Selected Contributions from ITISE 2016
123
Editors Ignacio Rojas CITIC-UGR University of Granada Granada Spain
Olga Valenzuela CITIC-UGR University of Granada Granada Spain
Héctor Pomares CITIC-UGR University of Granada Granada Spain
ISSN 1431-1968 Contributions to Statistics ISBN 978-3-319-55788-5 DOI 10.1007/978-3-319-55789-2
ISBN 978-3-319-55789-2
(eBook)
Library of Congress Control Number: 2017943098 Mathematics Subject Classification (2010): 62-XX, 68-XX, 60-XX, 58-XX, 37-XX © Springer International Publishing AG 2017 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
This book is intended to provide researchers with the latest advances in the immensely broad field of time series analysis and forecastin
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