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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

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Joachim Kunert

    1. Department of Statistics, Technische Universität Dortmund, Dortmund, Germany

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  2. Christine H. Müller

    1. Department of Statistics, Technische Universität Dortmund, Dortmund, Germany

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    You can also search for this editor in PubMed   Google Scholar

  3. Anthony C. Atkinson

    1. Department of Statistics, London School of Economics, London, United Kingdom

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Part of the book series: Contributions to Statistics (CONTRIB.STAT.)

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Table of contents (28 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. On Applying Optimal Design of Experiments when Functional Observations Occur

    • Giacomo Aletti, Caterina May, Chiara Tommasi
    Pages 1-9

  3. Optimal Designs for Implicit Models

    • Mariano Amo-Salas, Alfonso Jiménez-Alcázar, Jesús López-Fidalgo
    Pages 11-18

  4. Optimum Experiments with Sets of Treatment Combinations

    • Anthony C. Atkinson
    Pages 19-26

  5. Design Keys for Multiphase Experiments

    • R. A. Bailey
    Pages 27-35

  6. On Designs for Recursive Least Squares Residuals to Detect Alternatives

    • Wolfgang Bischoff
    Pages 37-45

  7. A Multi-objective Bayesian Sequential Design Based on Pareto Optimality

    • Matteo Borrotti, Antonio Pievatolo
    Pages 47-54

  8. Optimum Design via I-Divergence for Stable Estimation in Generalized Regression Models

    • Katarína Burclová, Andrej Pázman
    Pages 55-62

  9. On Multiple-Objective Nonlinear Optimal Designs

    • Qianshun Cheng, Dibyen Majumdar, Min Yang
    Pages 63-70

  10. Design for Smooth Models over Complex Regions

    • Peter Curtis, Hugo Maruri-Aguilar
    Pages 71-78

  11. PKL-Optimality Criterion in Copula Models for Efficacy-Toxicity Response

    • Laura Deldossi, Silvia Angela Osmetti, Chiara Tommasi
    Pages 79-86

  12. Efficient Circular Cross-over Designs for Models with Interaction

    • Pierre Druilhet
    Pages 87-94

  13. Survival Models with Censoring Driven by Random Enrollment

    • Valerii V. Fedorov, Xiaoqiang Xue
    Pages 95-102

  14. Optimal Design for Prediction in Random Field Models via Covariance Kernel Expansions

    • Bertrand Gauthier, Luc Pronzato
    Pages 103-111

  15. Asymptotic Properties of an Adaptive Randomly Reinforced Urn Model

    • Andrea Ghiglietti
    Pages 113-121

  16. Design of Computer Experiments Using Competing Distances Between Set-Valued Inputs

    • David Ginsbourger, Jean Baccou, Clément Chevalier, Frédéric Perales
    Pages 123-131

  17. Optimal Design for the Rasch Poisson-Gamma Model

    • Ulrike Graßhoff, Heinz Holling, Rainer Schwabe
    Pages 133-141

  18. Regular Fractions of Factorial Arrays

    • Ulrike Grömping, R. A. Bailey
    Pages 143-151

  19. Likelihood-Free Extensions for Bayesian Sequentially Designed Experiments

    • Markus Hainy, Christopher C. Drovandi, James M. McGree
    Pages 153-161

  20. A Confidence Interval Approach in Self-Designing Clinical Trials

    • Guido Knapp
    Pages 163-171
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Keywords

About this book

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 experimentation. There is an emphasis on applications to medicine, in particular, to the design of clinical trials. Scientists from Europe, the US, Asia, Australia and Africa contributed to this volume of papers from the 11th Workshop on Model Oriented Design and Analysis.


Editors and Affiliations

  • Department of Statistics, Technische Universität Dortmund, Dortmund, Germany

    Joachim Kunert, Christine H. Müller

  • Department of Statistics, London School of Economics, London, United Kingdom

    Anthony C. Atkinson

About the editors

Joachim Kunert is Professor of Statistics with Applications in Natural Sciences at TU Dortmund University. He has published over 60 papers in scientific journals and served as editor of two special issues and one book.

Christine Müller is Professor of Statistics with Applications in Engineering Sciences at TU Dortmund University. She is author and coauthor of two books and has published over 60 papers in scientific journals. She is coordinating editor and editor-in-chief of Statistical Papers and the president of the Deutsche Arbeitsgemeinschaft Statistik, an umbrella society of German statistics societies.

Anthony Atkinson is Emeritus Professor of Statistics at the London School of Economics. He is author, or coauthor, of six books and co-editor of a further six, including the Proceedings of mODa 5, 6, 9 and 10. In addition, he has published over 200 papers in scientific journals. He is an (elected) member of the International Statistical Institute and a fellow of the American Statistical Association.

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