Lectures on Categorical Data Analysis
This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as well as in marketin
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Tamás Rudas
Lectures on Categorical Data Analysis
Springer Texts in Statistics Series Editors R. DeVeaux S.E. Fienberg I. Olkin
More information about this series at http://www.springer.com/series/417
Tam´as Rudas
Lectures on Categorical Data Analysis
123
Tam´as Rudas Center for Social Sciences Hungarian Academy of Sciences Budapest, Hungary E¨otv¨os Lor´and University Budapest, Hungary
ISSN 1431-875X ISSN 2197-4136 (electronic) Springer Texts in Statistics ISBN 978-1-4939-7691-1 ISBN 978-1-4939-7693-5 (eBook) https://doi.org/10.1007/978-1-4939-7693-5 Library of Congress Control Number: 2018930750 © Springer Science+Business Media, LLC, part of Springer Nature 2018 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by the registered company Springer Science+Business Media, LLC part of Springer Nature. The registered company address is: 233 Spring Street, New York, NY 10013, U.S.A.
Preface
This book offers a fairly self-contained account of the fundamental results in categorical data analysis. The somewhat old fashioned title (Lectures . . . ) refers to the fact that the selection of the material does have a subjective component, and presentation, although rigorous, aims at explaining concepts and proofs rather than presenting them in the most parsimonious way. Every attempt has been made to combine mathematical precision and intuition, and to link theory with the everyday practice of data collection and analysis. Even the notation was modified occasionally to better emphasize the relevant aspects. The book assumes minimal background in calculus, linear algebra, probability theory, and statistics, much less than what is usually covered in the respective first courses. While the technical background required is minimal, there is, as often said, some maturity of thinking required. The text
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