Contingency Table Analysis Methods and Implementation Using R
Combining theory and applications, this book presents models and methods for the analysis of two‐ and multi‐dimensional contingency tables. The author uses a threefold approach: fundamental models and related inferences are presented, their interpretation
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Maria Kateri
Contingency Table Analysis Methods and Implementation Using R
Statistics for Industry and Technology Series Editor N. Balakrishnan McMaster University Hamilton, ON Canada
Editorial Advisory Board Max Engelhardt EG&G Idaho, Inc. Idaho Falls, ID, USA Harry F. Martz Los Alamos National Laboratory Los Alamos, NM, USA Gary C. McDonald NAO Research & Development Center Warren, MI, USA Kazuyuki Suzuki University of Electro Communications Chofu-shi, Tokyo Japan
For further volumes: http://www.springer.com/series/4982
Maria Kateri
Contingency Table Analysis Methods and Implementation Using R
Maria Kateri Institute of Statistics RWTH Aachen University Aachen, Germany
ISBN 978-0-8176-4810-7 ISBN 978-0-8176-4811-4 (eBook) DOI 10.1007/978-0-8176-4811-4 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2014934697 Mathematics Subject Classification (2010): 62H17, 62J12, 62H25, 62H12, 62F10, 62H15, 62F03 © Springer Science+Business Media New York 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.birkhauser-science.com)
To my parents Athina and Dimitris and to my daughter Zenia
Preface
The focus of this book is on models for contingency table analysis. It deals mainly with log-linear models and special models for ordinal data (log-li
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