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(Springer Series in Statistics) Ramsay J., Silverman B.W.-Functional data analysis-Springer (2005).pdf

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(Springer Series in Statistics) Ramsay J., Silverman B.W.-Functional data analysis-Springer (2005).pdf

文档介绍

文档介绍:Springer Series in Statistics
Advisors:
P. Bickel, P. Diggle, S. Fienberg, U. Gather,
I. Olkin, S. Zeger
. Ramsay
. Silverman
Functional Data Analysis
Second Edition
With 151 Illustrations
. Ramsay . Silverman
Department of Psychology St. Peter’s College
McGill University Oxford OX1 2DL
Montreal, Quebec H4A 1B1 United Kingdom
Canada bernard.******@
******@
Library of Congress Control Number: 2005923773
ISBN-10: 0-387-40080-X Printed on acid-free paper.
ISBN-13: 978-0387-40080-8
2005 Springer Science+Business Media, Inc.
All rights reserved. This work may not be translated or copied in whole or in part without the
written permission of the publisher (Springer Science+Business Media, Inc., 233 Spring St., New
York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis.
Use in connection with any form of information storage and retrieval, electronic adaptation, com-
puter software, or by similar or dissimilar methodology now known or hereafter developed is for-
bidden.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if
they are not identified as such, is not to be taken as an expression of opinion as to whether or not
they are subject to proprietary rights.
Printed in the United States of America. (MP)
987654321
Preface to the Second Edition
This book continues in the footsteps of the First Edition in being a snap-
shot of a highly social, and therefore decidedly unpredictable, process. The
combined personal view of functional data analysis that it presents has
emerged over a number of years of research and contact, and has been
greatly nourished by delightful collaborations with many friends. We hope
that readers will enjoy the book as much as we have enjoyed writing it,
whether they are our colleagues as researchers or applied data analysts
reading the book as a research monograph, or students using it