Growth Curve and Structural Equation Modeling Topics from the Indian
This book describes some recent trends in GCM research on different subject areas, both theoretical and applied. This includes tools and possibilities for further work through new techniques and modification of existing ones. A growth curve is an empirica
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Ratan Dasgupta Editor
Growth Curve and Structural Equation Modeling Topics from the Indian Statistical Institute
Springer Proceedings in Mathematics & Statistics Volume 132
More information about this series at http://www.springer.com/series/10533
Springer Proceedings in Mathematics & Statistics
This book series features volumes composed of select contributions from workshops and conferences in all areas of current research in mathematics and statistics, including operation research and optimization. In addition to an overall evaluation of the interest, scientific quality, and timeliness of each proposal at the hands of the publisher, individual contributions are all refereed to the high quality standards of leading journals in the field. Thus, this series provides the research community with well-edited, authoritative reports on developments in the most exciting areas of mathematical and statistical research today.
Ratan Dasgupta Editor
Growth Curve and Structural Equation Modeling Topics from the Indian Statistical Institute
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Editor Ratan Dasgupta Theoretical Statistics and Mathematics unit Indian Statistical Institute Kolkata, India
ISSN 2194-1009 ISSN 2194-1017 (electronic) Springer Proceedings in Mathematics & Statistics ISBN 978-3-319-17328-3 ISBN 978-3-319-17329-0 (eBook) DOI 10.1007/978-3-319-17329-0 Library of Congress Control Number: 2015938346 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 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. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www. springer.com)
Preface
Growth Curve Models (GCM) are of immense help to study the movement of important characteristics over time in different subject matters including branches of natural science. This volume is an outcome of presentations made in a GCM workshop held at the Indian Statistical Institute, Giridih, during the period 18–
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