Contemporary Experimental Design, Multivariate Analysis and Data Mining
The collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially
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temporary Experimental Design, Multivariate Analysis and Data Mining Festschrift in Honour of Professor Kai-Tai Fang
Contemporary Experimental Design, Multivariate Analysis and Data Mining
Jianqing Fan Jianxin Pan •
Editors
Contemporary Experimental Design, Multivariate Analysis and Data Mining Festschrift in Honour of Professor Kai-Tai Fang
123
Editors Jianqing Fan Department of Financial Engineering Princeton University Princeton, NJ, USA
Jianxin Pan Department of Mathematics The University of Manchester Manchester, UK
ISBN 978-3-030-46160-7 ISBN 978-3-030-46161-4 https://doi.org/10.1007/978-3-030-46161-4
(eBook)
Mathematics Subject Classification: 62F, 62H, 62G, 62K, 62J, 62N, 62P © Springer Nature Switzerland AG 2020 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, expressed 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. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and social sciences. Especially in the era of big data, researchers can easily collect data with huge size and complexity. While, it also often occurs that the cost for collection of each item of data is high, such as the data for missile intercept experiments. In this case, the use of design of experiments will be very crucial. Design of experiments requires researchers to collect data at some carefully designed points to enhance their statistical efficiency. Moreover, analysis of such collected multivariate data is equally important. At the occasion of his 80th birthday, we present four review papers on the contributions of Prof. Kai-Tai Fang to the fields of design of experiments, multivariate analy
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