Multivariate Statistics Exercises and Solutions
The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of esti
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ultivariate Statistics Exercises and Solutions Second Edition
QUANTLETS
Multivariate Statistics
Wolfgang Karl HRardle • Zdenˇek Hlávka
Multivariate Statistics Exercises and Solutions Second Edition
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Zdenˇek Hlávka Charles University in Prague Faculty of Mathematics and Physics Department of Statistics Czech Republic
Wolfgang Karl HRardle C.A.S.E. Centre f. Appl. Stat. & Econ. School of Business and Economics Humboldt-Universität zu Berlin Berlin, Germany
The quantlet codes in Matlab or R may be downloaded from www.quantlet.com or via a link on http://springer.com/978-3-642-36004-6 ISBN 978-3-642-36004-6 DOI 10.1007/978-3-642-36005-3
ISBN 978-3-642-36005-3 (eBook)
Library of Congress Control Number: 2015941507 Springer Heidelberg New York Dordrecht London © Springer-Verlag Berlin Heidelberg 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-Verlag GmbH (www.springer.com)
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Preface to the Second Edition
I have always had an idea that I would have made a highly efficient criminal. This is the chance of my lifetime in that direction. See here! This is a first-class, up-to-date burgling kit, with nickel-plated Jimmy, diamond-tipped glass-cutter, adaptable keys, and every modern improvement which the march of civilization demands. Sherlock Holmes in “The Adventure of Charles Augustus Milverton”
The statistical science has seen new paradigms and more complex and richer data sets. These include data on human genomics, social networks, huge climate and weather data, and, of course, high frequency financial and economic data. The statistical community has reacted to these challenges by developing modern mathematical tools and by advancing computational techniques, e.g., through fresher Quantlets and better hardware and software platforms. As a consequence, the book Härdle, W. and Simar, L. (2015) Applied Multivariate
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