Time Series Analysis and Forecasting Selected Contributions from the
This volume presents selected peer-reviewed contributions from The International Work-Conference on Time Series, ITISE 2015, held in Granada, Spain, July 1-3, 2015. It discusses topics in time series analysis and forecasting, advanced methods and online l
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Ignacio Rojas Héctor Pomares Editors
Time Series Analysis and Forecasting Selected Contributions from the ITISE Conference
Contributions to Statistics
More information about this series at http://www.springer.com/series/2912
Ignacio Rojas • Héctor Pomares Editors
Time Series Analysis and Forecasting Selected Contributions from the ITISE Conference
123
Editors Ignacio Rojas CITIC-UGR University of Granada Granada, Spain
ISSN 1431-1968 Contributions to Statistics ISBN 978-3-319-28723-2 DOI 10.1007/978-3-319-28725-6
Héctor Pomares CITIC-UGR University of Granada Granada, Spain
ISBN 978-3-319-28725-6 (eBook)
Library of Congress Control Number: 2016933767 Mathematics Subject Classification (2010): 37M10, 62M10, 62-XX, 68-XX, 60-XX, 58-XX, 37-XX © Springer International Publishing Switzerland 2016 Chapter 23 was created within the capacity of an US governmental employment. US Copyright protection does not apply. 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 This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
From the measurements of natural phenomena, such as the amount of rainfall or temperature in a given region, to the electricity consumption of a city or a country, they all can be considered as a mere succession of values obtained, normally at regular intervals, or a time series. Let us think for a moment what if we could know any of the values of these series in advance; it would never rain on our freshly washed car. The usefulness of the study of time series is of huge importance for our society in general. At this point it should be noted that there are many types of time series caused by different phenomena and therefore there exist many different behaviors. If the phenomenon behind the series were known with enough accuracy, we could build a model from it, and our prediction could be easy, direct, and accurate. However, most phenomena are not
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