文档介绍：Lecture Notes in Statistics 182
Edited by P. Bickel, P. Diggle, S. Fienberg, U. Gather,
I. Olkin, S. Zeger
Lixing Zhu
Nonparametric Monte Carlo Tests
and Their Applications
With 15 Figures
Lixing Zhu
Department of Statistics and Actuarial Science
University of Hong Kong and Chinese
Academy of Sciences
Pokfulam Road
Hong Kong
******@
Library of Congress Control Number: 2005926894
ISBN-10: 0-387-25038-7
ISBN-13: 978-0387-25038-0 Printed on acid-free paper.
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Printed in the United States of America. (EB)
987654321
Lixing Zhu
Nonparametric Monte Carlo
Tests and Their Applications
SPIN Springer’s internal project number, if known
– Lecture Notes –
June 26, 2005
Springer
Berlin Heidelberg NewYork
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To my wife and son: Qiushi and Qingqing
Preface
Monte Carlo approximations to the distributions of statistics have e
important tools in statistics. In statistical inference, Monte Carlo approxima-
tion is performed paring the distribution of a statistic based on the
observed data and that based on reference data. How to generate reference
data is a crucial question in this research area.
In