mODa 11 - Advances in Model-Oriented Design and Analysis Proceedings
This volume contains pioneering contributions to both the theory and practice of optimal experimental design. Topics include the optimality of designs in linear and nonlinear models, as well as designs for correlated observations and for sequential e
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Joachim Kunert Christine H. Müller Anthony C. Atkinson Editors
mODa 11 Advances in ModelOriented Design and Analysis Proceedings of the 11th International Workshop in Model-Oriented Design and Analysis held in Hamminkeln, Germany, June 12-17, 2016
Contributions to Statistics
More information about this series at http://www.springer.com/series/2912
Joachim Kunert • Christine H. MRuller • Anthony C. Atkinson Editors
mODa 11 - Advances in Model-Oriented Design and Analysis Proceedings of the 11th International Workshop in Model-Oriented Design and Analysis held in Hamminkeln, Germany, June 12-17, 2016
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Editors Joachim Kunert Department of Statistics Technische UniversitRat Dortmund Dortmund, Germany
Christine H. MRuller Department of Statistics Technische UniversitRat Dortmund Dortmund, Germany
Anthony C. Atkinson Department of Statistics London School of Economics London, United Kingdom
ISSN 1431-1968 Contributions to Statistics ISBN 978-3-319-31264-4 DOI 10.1007/978-3-319-31266-8
ISBN 978-3-319-31266-8 (eBook)
Library of Congress Control Number: 2016940826 © Springer International Publishing Switzerland 2016 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 This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
This volume contains articles based on presentations at the 11th workshop on model-oriented data analysis and optimum design (mODa) in HamminkelnDingden, Germany, during June 2016. The 11th workshop was organized by the Department of Statistics of the TU Dortmund and supported by the Collaborative Research Center “Statistical modeling of nonlinear dynamic processes” (SFB 823) of the German Research Foundation (DFG). The mODa series of workshops focuses on nonstandard design of experiments and related analysis of data. The main objectives are: • To promote new advanced research areas as well as collaboration between academia and industry. • Whene
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