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Phillip I. Good-Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics) (2004).pdf

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Phillip I. Good-Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics) (2004).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
Phillip Good
Permutation, Parametric
and Bootstrap Tests
of Hypotheses
Third Edition
With 22 Illustrations
Phillip Good
205 W. Utica Avenue
Huntington Beach, CA 92648
USA
pigood@
Library of Congress Cataloging-in-Publication Data
Good, Phillip I.
Permutation, Parametric and Bootstrap Tests of Hypotheses
Phillip Good.— 3rd ed.
p. cm. —(Springer series in statistics)
Includes bibliographical references and index.
ISBN 0-387-20279-X (hardcover : alk. paper)
1. Statistical hypothesis testing. 2. Resampling (Statistics) I. Title. II. Series.
2004
′6—dc22 2004050436
ISBN 0-387-20279-X Printed on acid-free paper.
© 1994, 2000, 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. (MVY)
987654321 SPIN 10952368
Preface to the Third Edition
This text is intended to provide a strong theoretical background in testing
hypotheses and decision theory for those who will be practicing in the real
world or who will be participating in the training of real-world statisticians and
biostatisticians. In previous editions of this text, my rhetoric was somewhat
tentative.