Contributions to Statistics

mODa 10 – Advances in Model-Oriented Design and Analysis

Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013

Editors: Ucinski, Dariusz, Atkinson, Anthony C., Patan, Maciej (Eds.)

  • 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
see more benefits

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-319-00218-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $199.00
price for USA
  • ISBN 978-3-319-00217-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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 authors

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.

Table of contents (28 chapters)

  • A Convergent Algorithm for Finding KL-Optimum Designs and Related Properties

    Aletti, Giacomo (et al.)

    Pages 1-9

  • Robust Experimental Design for Choosing Between Models of Enzyme Inhibition

    Atkinson, Anthony C. (et al.)

    Pages 11-18

  • Checking Linear Regression Models Taking Time into Account

    Bischoff, Wolfgang

    Pages 19-26

  • Optimal Sample Proportion for a Two-Treatment Clinical Trial in the Presence of Surrogate Endpoints

    Biswas, Atanu (et al.)

    Pages 27-34

  • Estimating and Quantifying Uncertainties on Level Sets Using the Vorob’ev Expectation and Deviation with Gaussian Process Models

    Chevalier, Clément (et al.)

    Pages 35-43

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-319-00218-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $199.00
price for USA
  • ISBN 978-3-319-00217-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
mODa 10 – Advances in Model-Oriented Design and Analysis
Book Subtitle
Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013
Editors
  • Dariusz Ucinski
  • Anthony C. Atkinson
  • Maciej Patan
Series Title
Contributions to Statistics
Copyright
2013
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-00218-7
DOI
10.1007/978-3-319-00218-7
Softcover ISBN
978-3-319-00217-0
Series ISSN
1431-1968
Edition Number
1
Number of Pages
XX, 249
Number of Illustrations and Tables
30 b/w illustrations, 13 illustrations in colour
Topics