Permutation, Parametric And Bootstrap Tests Of Hypotheses: A Practical Guide To Resampling Methods For Testing Hypotheses

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Explains the necessary background in testing hypothesis and decision theory to enable innumerable practical applications of statistics. This book includes many real-world illustrations from biology, business, clinical trials, economics, geology, law, medicine, social science and engineering along with twice the number of exercises.

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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 [email protected] 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. QA277.G643 2004 519.5′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, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms,