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Optimum Design 2000

  • Anthony Atkinson
  • Barbara Bogacka
  • Anatoly Zhigljavsky

Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 51)

Table of contents

  1. Front Matter
    Pages i-x
  2. Theory

    1. Front Matter
      Pages 1-1
    2. Anthony C. Atkinson, V. V. Fedorov
      Pages 3-14
    3. R. C. H. Cheng, V. B. Melas, A. N. Pepelyshev
      Pages 15-24
    4. Beatrice Giglio, Henry P. Wynn, Eva Riccomagno
      Pages 33-44
    5. H. Großmann, H. Holling, U. Graßhoff, R. Schwabe
      Pages 45-56
    6. Patrick J. Laycock, Peter J. Rowley
      Pages 57-66
    7. M. B. Malyutov, I. I. Tsitovich
      Pages 67-78
    8. Ilya Molchanov, Sergei Zuyev
      Pages 79-90
    9. J. M. Rodríguez-Díaz, J. López-Fidalgo
      Pages 123-130
    10. Michael Sahm, Rainer Schwabe
      Pages 131-140
    11. Ben Torsney, Saumendranath Mandal
      Pages 141-152
  3. Applications

    1. Front Matter
      Pages 153-153
    2. Brian Bond, Valeri Fedorov, Matthew Jones, Anatoly Zhigljavsky
      Pages 155-166
    3. Steven M. Bortnick, Angela M. Dean, Jason C. Hsu
      Pages 167-180
    4. Janis Hardwick, Quentin F. Stout
      Pages 195-210
    5. Euloge E. Kpamegan, Nancy Flournoy
      Pages 211-224
    6. R. J. Martin, M. C. Bursnall, E. C. Stillman
      Pages 225-239
    7. Werner G. Müller
      Pages 241-248
    8. Lieven Tack, Martina Vandebroek
      Pages 249-260
    9. Silvio Sandoval Zocchi, Clarice Garcia Borges Demétrio
      Pages 287-294
    10. Anthony Atkinson, Barbara Bogacka, Anatoly Zhigljavsky
      Pages 295-302
  4. Back Matter
    Pages 303-309

About this book

Introduction

This volume contains many of the papers presented at the conference "Optimum Design 2000: Prospects for the New Millennium" held in Cardiff, UK on April 12th - 14th, 2000. The majority of the papers consider aspects of optimum experimental design from the theoretical to applications. Many of the optimisation problems arising in the optimum design theory in general and the articles in this volume in particular, fall into the category of nonconvex, including global, optimization. The papers are organised in two sections. Since we are at the beginning of a new millennium the first paper starts by looking back at the beginnings of optimum exper­ imental design in 1917 and sketches the development up to Kiefer's paper read to the Royal Statistical Society in 1959. This is the first in a group of papers which we have labelled "Theory", which cover the more general aspects, such as the properties and methods of construction of designs. In the "Applications" section there are papers on sequential design problems arising in the pharmaceutical industry and on the designs with discrete factors which occur in agriculture. There are also papers on training neural networks, on the efficient design of sampling methods, on design problems in mixtures, arising from a study of glass manufacturing, and on the resistance of Brazilian weeds to herbicides. The number attending the meeting was deliberately limited to 50 in order to encour­ age a workshop atmosphere and the exchange of ideas.

Keywords

Likelihood design model neural networks optimization regression statistics

Editors and affiliations

  • Anthony Atkinson
    • 1
  • Barbara Bogacka
    • 2
  • Anatoly Zhigljavsky
    • 3
  1. 1.London School of EconomicsUK
  2. 2.Queen Mary & Westfield CollegeUK
  3. 3.Cardiff UniversityUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-3419-5
  • Copyright Information Springer-Verlag US 2001
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-4846-5
  • Online ISBN 978-1-4757-3419-5
  • Series Print ISSN 1571-568X
  • Buy this book on publisher's site