Modern Nonparametric, Robust and Multivariate Methods Festschrift in
Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate
- PDF / 13,740,419 Bytes
- 513 Pages / 439.42 x 683.15 pts Page_size
- 103 Downloads / 223 Views
dern Nonparametric, Robust and Multivariate Methods Festschrift in Honour of Hannu Oja
Modern Nonparametric, Robust and Multivariate Methods
Klaus Nordhausen • Sara Taskinen Editors
Modern Nonparametric, Robust and Multivariate Methods Festschrift in Honour of Hannu Oja
123
Editors Klaus Nordhausen Department of Mathematics and Statistics University of Turku Turku, Finland School of Health Sciences University of Tampere Tampere, Finland
ISBN 978-3-319-22403-9 DOI 10.1007/978-3-319-22404-6
Sara Taskinen Department of Mathematics and Statistics University of JyvRaskylRa JyvRaskylRa, Finland
ISBN 978-3-319-22404-6 (eBook)
Library of Congress Control Number: 2015951385 Mathematics Subject Classification (2010): 62H10, 62H12, 62H15, 62H20, 62G10, 62G35, 92C55 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)
Published with the kind permission of © Ritva Oja, 2011. All Rights Reserved.
Foreword
Hannu Oja has had an extensive and illustrious career. Many things are striking when you look back over the roughly 35 years of his scholarship. His work forms a unity and coherence, focusing on multivariate invariant and equivariant statistical methods. His work steadily evolved from his early results on defining an affine equivariant median, now referred to as the Oja median, in the early 1980s to an efficiently computable affine equivariant median using transform–retransform methods developed in the late 1990s. It has been my experience, and I am sure I speak for his many students and coauthors that he is the ideal collaborator. He always has insightful comments, is an excellent listener, and is generous to a fault. It has been a privilege and pleasure to work with him. Over a period of many years, I had the further pleasure of visiting
Data Loading...
