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Christopher Z. Mooney - Bootstrapping: a nonparametric approach to statistical inference, Issues 94-95

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Bootstrapping, a computational nonparametric technique for re-sampling, enables researchers to draw a conclusion about the characteristics of a population strictly from the existing sample rather than by making parametric assumptions about the estimator. Using real data examples from per capita personal income to median preference differences between legislative committee members and the entire legislature, Mooney and Duval discuss how to apply bootstrapping when the underlying sampling distribution of the statistics cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, they show the advantages and limitations of four bootstrap confidence interval methods: normal approximation, percenti

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stitle Bootstrapping A Nonparametric Approach to Statistical Inference - photo 1

title:Bootstrapping : A Nonparametric Approach to Statistical Inference Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-095
author:Mooney, Christopher Z.; Duval, Robert.
publisher:Sage Publications, Inc.
isbn10 | asin:080395381X
print isbn13:9780803953819
ebook isbn13:9780585216768
language:English
subjectSocial sciences--Statistical methods, Bootstrap (Statistics) , Inference.
publication date:1993
lcc:HA31.2.M66 1993eb
ddc:300/.1/5195
subject:Social sciences--Statistical methods, Bootstrap (Statistics) , Inference.
Bootstrapping
A Nonparametric Approach to Statistical Inference
SAGE UNIVERSITY PAPERS
Series: Quantitative Applications in the Social Sciences
Series Editor: Michael S. Lewis-Beck, University of Iowa
Editorial Consultants
Richard A. Berk, Sociology, University of California, Los Angeles
William D. Berry, Political Science, Florida State University
Kenneth A. Bollen, Sociology, University of North Carolina, Chapel Hill
Linda B. Bourque, Public Health, University of California, Los Angeles
Jacques A. Hagenaars, Social Sciences, Tilburg University
Sally Jackson, Communications, University of Arizona
Richard M. Jaeger, Education, University of North Carolina, Greensboro
Gary King, Department of Government, Harvard University
Roger E. Kirk, Psychology, Baylor University
Helena Chmura Kraemer, Psychiatry and Behavioral Sciences, Stanford University
Peter Marsden, Sociology, Harvard University
Helmut Norpoth, Political Science, SUNY, Stony Brook
Frank L. Schmidt, Management and Organization, University of Iowa
Herbert Weisberg, Political Science, The Ohio State University
Publisher
Sara Miller McCune, Sage Publications, Inc.
INSTRUCTIONS TO POTENTIAL CONTRIBUTORS
For guidelines on submission of a monograph proposal to this series, please write
Michael S. Lewis-Beck, Editor
Sage QASS Series
Department of Political Science
University of Iowa
Iowa City, IA 52242
Page i
Series/Number 07-095
Bootstrapping
A Nonparametric Approach to Statistical Inference
Christopher Z. Mooney
West Virginia University and
University of Essex
Robert D. Dulal
West Virginia University
Picture 2
SAGE PUBLICATIONS
International Educational and Professional Publisher
Newbury Park London New Delhi
Page ii
Copyright 1993 by Sage Publications, Inc.
All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher.
For information address:
Picture 3
SAGE Publications, Inc.
2455 Teller Road
Newbury Park, California 91320
E-mail: order@sagepub.com
SAGE Publications Ltd.
6 Bonhill Street
London EC2A 4PU
United Kingdom
SAGE Publications India Pvt. Ltd.
M-32 Market
Greater Kailash I
New Delhi 110 048 India
Printed in the United States of America
Library of Congress Catalog Card No. 89-043409
Mooney, Christopher Z.
Bootstrapping: a nonparametric approach to statistical inference/
Christopher Z. Mooney, Robert Duval.
p. cm.(Quantitative applications in the social sciences; 95)
Includes bibliographical references.
ISBN 0-8039-5381-X
1. Social sciencesStatistical methods. 2. Bootstrap
(Statistics) 3. Inference. I. Duval, Robert. II. Title.
III. Series: Sage university papers series. Quantitative
applications in the social sciences; no. 95
HA 31.2.M66 1993
300' .1'5195dc20 93-5212
99 00 01 10 9 8 7 6 5
Sage Production Editor: Susan McElroy
When citing a university paper, please use the proper form. Remember to cite the current Sage University Paper series title and include the paper number. One of the following formats can be adapted (depending on the style manual used):
(1) MOONEY, CHRISTOPHER Z., and DUVAL, ROBERT D. (1993) Bootstrapping: A Nonparametric Approach to Statistical Inference. Sage University Paper series on Quantitative Applications in the Social Sciences, 07-095. Newbury Park, CA: Sage.
OR
(2) Mooney, C. Z., & Duval, R. D. (1993). Bootstrapping: A nonparametric approach to statistical inference (Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-095). Newbury Park, CA: Sage.
Page iii
Contents
Series Editor's Introduction
iv
Acknowledgments
vi
1. Introduction
1
Picture 4
Traditional Parametric Statistical Inference
4
Picture 5
Bootstrap Statistical Inference
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