Overview
- Editors:
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Dariusz Ucinski
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University of Zielona Góra, Zielona Góra, Poland
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Anthony C. Atkinson
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London School of Economics, London, United Kingdom
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Maciej Patan
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University of Zielona Góra, Zielona Góra, Poland
- Reports cutting-edge research in optimum experimental design
- The authors are leading experts in the field
- Contributions cover self-contained topics drawn from science, engineering and pharmaceutical investigations
- Includes supplementary material: sn.pub/extras
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Table of contents (28 papers)
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- Giacomo Aletti, Caterina May, Chiara Tommasi
Pages 1-9
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- Anthony C. Atkinson, Barbara Bogacka
Pages 11-18
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- Atanu Biswas, Buddhananda Banerjee, Saumen Mandal
Pages 27-34
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- Clément Chevalier, David Ginsbourger, Julien Bect, Ilya Molchanov
Pages 35-43
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- Roelof L. J. Coetzer, Linda M. Haines
Pages 45-53
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- Ellinor Fackle-Fornius, Linda Wänström
Pages 63-72
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- Davide Ferrari, Matteo Borrotti
Pages 73-80
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- Nancy Flournoy, Arkaitz Galbete, José Antonio Moler, Fernando Plo
Pages 81-89
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- Lei Gao, William F. Rosenberger
Pages 91-98
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- Andrea Ghiglietti, Anna Maria Paganoni
Pages 99-106
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- David Ginsbourger, Nicolas Durrande, Olivier Roustant
Pages 107-115
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- Ulrike Graßhoff, Heinz Holling, Rainer Schwabe
Pages 117-124
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- Markus Hainy, Werner G. Müller, Henry P. Wynn
Pages 135-143
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- Sergei Leonov, Alexander Aliev
Pages 145-152
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- Bergrun Tinna Magnusdottir
Pages 153-161
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- Viatcheslav B. Melas, Lyudmila A. Krylova, Dariusz Uciński
Pages 163-170
About this book
This book collects the proceedings of the 10th Workshop on Model-Oriented Design and Analysis (mODa). A model-oriented view on the design of experiments, which is the unifying theme of all mODa meetings, assumes some knowledge of the form of the data-generating process and naturally leads to the so-called optimum experimental design. Its theory and practice have since become important in many scientific and technological fields, ranging from optimal designs for dynamic models in pharmacological research, to designs for industrial experimentation, to designs for simulation experiments in environmental risk management, to name but a few. The methodology has become even more important in recent years because of the increased speed of scientific developments, the complexity of the systems currently under investigation and the mounting pressure on businesses, industries and scientific researchers to reduce product and process development times. This increased competition requires ever increasing efficiency in experimentation, thus necessitating new statistical designs. This book presents a rich collection of carefully selected contributions ranging from statistical methodology to emerging applications. It primarily aims to provide an overview of recent advances and challenges in the field, especially in the context of new formulations, methods and state-of-the-art algorithms. The topics included in this volume will be of interest to all scientists and engineers and statisticians who conduct experiments.
About the editors
Dariusz Uciński is a Professor of Automatic Control and Robotics at the University of Zielona Góra, Poland. His major research areas include measurement optimization for spatio-temporal systems, optimum experimental design for dynamic systems, algorithmic optimal control, probabilistic robotics and parallel computing. He is the author of Optimal Measurement Methods for Distributed Parameter System Identification. Anthony C. Atkinson is an Emeritus Professor of Statistics at the London School of Economics. He has published extensively on robust statistical methods, generalized linear models, clinical trials, optimum experimental design, simulation and regression diagnostics. He has served as Editor of the Journal of the Royal Statistical Society, Series B. He is the author of Plots, Transformations, and Regression and co-author of Optimum Experimental Designs, Robust Diagnostic Regression Analysis and Exploring Multivariate Data with the Forward Search. Maciej Patan is a Reader in Electrical Engineering at the University of Zielona Góra, Poland. His research focuses on sensor scheduling for the optimal observation of spatio-temporal systems, optimum experimental design, clinical trials, scientific computing and mobile robotics. He is the author of Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems.
