Growth Curve Models and Applications Indian Statistical Institute, G
Growth curve models in longitudinal studies are widely used to model population size, body height, biomass, fungal growth, and other variables in the biological sciences, but these statistical methods for modeling growth curves and analyzing longitudinal
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Ratan Dasgupta Editor
Growth Curve Models and Applications Indian Statistical Institute, Giridih, India, March 28–29, 2016
Springer Proceedings in Mathematics & Statistics Volume 204
Springer Proceedings in Mathematics & Statistics This book series features volumes composed of selected 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.
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Ratan Dasgupta Editor
Growth Curve Models and Applications Indian Statistical Institute, Giridih, India, March 28–29, 2016
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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 978-3-319-63885-0 ISBN 978-3-319-63886-7 (eBook) DOI 10.1007/978-3-319-63886-7 Library of Congress Control Number: 2017947465 Mathematics Subject Classification (2010): 62-02 © Springer International Publishing AG 2017 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 Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
A growth curve is an empirical model of the evolution of a quantity over time. Growth curve models are now widel
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