M0Da11 advances in model oriented design and analysis

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M0Da11 advances in model oriented design and analysis

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Free ebooks ==> www.Ebook777.com Contributions to Statistics 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 www.Ebook777.com Free ebooks ==> www.Ebook777.com Contributions to Statistics www.Ebook777.com 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 123 Free ebooks ==> www.Ebook777.com 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 www.Ebook777.com 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 • Whenever possible, to provide financial support for research in the area of experimental design and related topics • To give junior researchers the opportunity of establishing personal contacts and working together with leading researchers • To bring together scientists from different statistical schools – particular emphasis is given to the inclusion of scientists from Central and Eastern Europe The mODa series of workshops started at the Wartburg near Eisenach in the former GDR in 1987 and has continued as a tri-annual series of conferences The locations and dates of the former conferences are as follows: • • • • • • • • • • mODa 1: Eisenach, former GDR, 1987, mODa 2: St Kyrik, Bulgaria, 1990, mODa 3: Peterhof, Russia, 1992, mODa 4: Spetses, Greece, 1995, mODa 5: Luminy, France, 1998, mODa 6: Puchberg/Schneeberg, Austria, 2001, mODa 7: Heeze, The Netherlands, 2004, mODa 8: Almagro, Spain, 2007, mODa 9: Bertinoro, Italy, 2010, mODa 10: Łagów Lubuski, Poland, 2013 v vi Preface The articles in this volume provide an overview of current topics in research on experimental design The topics covered by the papers are: • designs for treatment combinations (Atkinson; Druilhet; Grưmping and Bailey), • randomisation (Bailey; Ghiglietti; Shao and Rosenberger), • computer experiments (Curtis and Maruri-Aguilar; Ginsbourger, Baccou, Chevalier and Perales), • designs for nonlinear regression and generalized linear models (Amo-Salas, Jiménez-Alcázar and López-Fidalgo; Burclová and Pázman; Cheng, Majumdar and Yang; Mielke; Radloff and Schwabe), • designs for dependent data (Deldossi, Osmetti and Tommasi; Gauthier and Pronzato; Prus and Schwabe), • designs for functional data (Aletti, May and Tommasi; Zang and Groòmann), ã adaptive and sequential designs (Borrotti and Pievatolo; Hainy, Drovandi and McGree; Knapp; Lane, Wang and Flournoy), • designs for special fields of application (Bischoff; Fedorov and Xue; Graßhoff, Holling and Schwabe; Pepelyshev, Staroselskiy and Zhigljavsky), • foundations of experimental design (Müller and Wynn; Zhigljavsky, Golyandina and Gillard) In this time of Big Data, it is often not emphasized in public discourse that experimental design remains extremely important The mODa series of workshops wishes to raise public awareness of the continuing importance of experimental design In particular, the papers from various fields of application show that experimental design is not a mathematical plaything, but is of direct use in the sciences Since the first workshop in Eisenach, optimal design for various situations has been at the heart of the research covered by mODa Sequential design is another long-standing topic in the mODa series It is clear that computer experiments, designs for dependent data, and functional data become increasingly feasible For causal inference in particular, old-fashioned methods like randomization, blinding, and orthogonality of factors remain indispensable In addition to the importance of the research covered here, we think that the articles in this volume show the beauty of mathematical statistics, which should not be forgotten For the editors, it was a pleasure reading these research results We would like to thank the authors for submitting such nice work and for providing revisions in time, wherever a revision was necessary Last, but not least, we want to thank the referees who provided thoughtful and constructive reviews in time, helping to make this volume a fine addition to any statistician’s bookshelves Dortmund, Germany Christine Müller Joachim Kunert Anthony Atkinson Contents On Applying Optimal Design of Experiments when Functional Observations Occur Giacomo Aletti, Caterina May, and Chiara Tommasi Optimal Designs for Implicit Models Mariano Amo-Salas, Alfonso Jiménez-Alcázar, and Jesús López-Fidalgo 11 Optimum Experiments with Sets of Treatment Combinations Anthony C Atkinson 19 Design Keys for Multiphase Experiments R.A Bailey 27 On Designs for Recursive Least Squares Residuals to Detect Alternatives Wolfgang Bischoff 37 A Multi-objective Bayesian Sequential Design Based on Pareto Optimality Matteo Borrotti and Antonio Pievatolo 47 Optimum Design via I-Divergence for Stable Estimation in Generalized Regression Models Katarína Burclová and Andrej Pázman 55 On Multiple-Objective Nonlinear Optimal Designs Qianshun Cheng, Dibyen Majumdar, and Min Yang 63 Design for Smooth Models over Complex Regions Peter Curtis and Hugo Maruri-Aguilar 71 PKL-Optimality Criterion in Copula Models for Efficacy-Toxicity Response Laura Deldossi, Silvia Angela Osmetti, and Chiara Tommasi 79 vii viii Contents Efficient Circular Cross-over Designs for Models with Interaction Pierre Druilhet 87 Survival Models with Censoring Driven by Random Enrollment Valerii V Fedorov and Xiaoqiang Xue 95 Optimal Design for Prediction in Random Field Models via Covariance Kernel Expansions 103 Bertrand Gauthier and Luc Pronzato Asymptotic Properties of an Adaptive Randomly Reinforced Urn Model 113 Andrea Ghiglietti Design of Computer Experiments Using Competing Distances Between Set-Valued Inputs 123 David Ginsbourger, Jean Baccou, Clément Chevalier, and Frédéric Perales Optimal Design for the Rasch Poisson-Gamma Model 133 Ulrike Graßhoff, Heinz Holling, and Rainer Schwabe Regular Fractions of Factorial Arrays 143 Ulrike Grömping and R.A Bailey Likelihood-Free Extensions for Bayesian Sequentially Designed Experiments 153 Markus Hainy, Christopher C Drovandi, and James M McGree A Confidence Interval Approach in Self-Designing Clinical Trials 163 Guido Knapp Conditional Inference in Two-Stage Adaptive Experiments via the Bootstrap 173 Adam Lane, HaiYing Wang, and Nancy Flournoy Study Designs for the Estimation of the Hill Parameter in Sigmoidal Response Models 183 Tobias Mielke Controlled Versus “Random” Experiments: A Principle 191 Werner G Müller and Henry P Wynn Adaptive Designs for Optimizing Online Advertisement Campaigns 199 Andrey Pepelyshev, Yuri Staroselskiy, and Anatoly Zhigljavsky Interpolation and Extrapolation in Random Coefficient Regression Models: Optimal Design for Prediction 209 Maryna Prus and Rainer Schwabe Free ebooks ==> www.Ebook777.com Contents ix Invariance and Equivariance in Experimental Design for Nonlinear Models 217 Martin Radloff and Rainer Schwabe Properties of the Random Block Design for Clinical Trials 225 Hui Shao and William F Rosenberger Functional Data Analysis in Designed Experiments 235 Bairu Zhang and Heiko Großmann Analysis and Design in the Problem of Vector Deconvolution 243 Anatoly Zhigljavsky, Nina Golyandina, and Jonathan Gillard Index 253 www.Ebook777.com ... Novara, Italy e-mail: caterina.may@uniupo.it © Springer International Publishing Switzerland 2016 J Kunert et al (eds.), mODa 11 - Advances in Model- Oriented Design and Analysis, Contributions to... WC2A 2AE, UK e-mail: a.c.atkinson@lse.ac.uk © Springer International Publishing Switzerland 2016 J Kunert et al (eds.), mODa 11 - Advances in Model- Oriented Design and Analysis, Contributions to... 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

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Mục lục

    On Applying Optimal Design of Experiments when Functional Observations Occur

    3 Infinite and Finite-Dimensional Results

    Optimal Designs for Implicit Models

    1.2 Optimal Experimental Design: General Background

    2 Inverse Function Theorem for Computing the FIM

    3 Optimal Designs for the Case Study

    Optimum Experiments with Sets of Treatment Combinations

    2 A Simple Response Surface Example

    Design Keys for Multiphase Experiments

    1 Experiments with a Single Phase

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