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  • © 2001

Optimum Design 2000

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

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Table of contents (26 chapters)

  1. Front Matter

    Pages i-x
  2. Theory

    1. Front Matter

      Pages 1-1
    2. Some History Leading to Design Criteria for Bayesian Prediction

      • Anthony C. Atkinson, V. V. Fedorov
      Pages 3-14
    3. Optimal Designs for the Evaluation of an Extremum Point

      • R. C. H. Cheng, V. B. Melas, A. N. Pepelyshev
      Pages 15-24
    4. Gröbner Basis Methods in Mixture Experiments and Generalisations

      • Beatrice Giglio, Henry P. Wynn, Eva Riccomagno
      Pages 33-44
    5. Efficient Designs for Paired Comparisons with a Polynomial Factor

      • H. Großmann, H. Holling, U. Graßhoff, R. Schwabe
      Pages 45-56
    6. Second-Order Optimal Sequential Tests

      • M. B. Malyutov, I. I. Tsitovich
      Pages 67-78
    7. Variational Calculus in the Space of Measures and Optimal Design

      • Ilya Molchanov, Sergei Zuyev
      Pages 79-90
    8. Optimal Characteristic Designs for Polynomial Models

      • J. M. Rodríguez-Díaz, J. López-Fidalgo
      Pages 123-130
    9. A Note on Optimal Bounded Designs

      • Michael Sahm, Rainer Schwabe
      Pages 131-140
    10. Construction of Constrained Optimal Designs

      • Ben Torsney, Saumendranath Mandal
      Pages 141-152
  3. Applications

    1. Front Matter

      Pages 153-153
    2. Pharmaceutical Applications of a Multi-Stage Group Testing Method

      • Brian Bond, Valeri Fedorov, Matthew Jones, Anatoly Zhigljavsky
      Pages 155-166
    3. Block Designs for Comparison of Two Test Treatments with a Control

      • Steven M. Bortnick, Angela M. Dean, Jason C. Hsu
      Pages 167-180

About this book

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.

Editors and Affiliations

  • London School of Economics, UK

    Anthony Atkinson

  • Queen Mary & Westfield College, UK

    Barbara Bogacka

  • Cardiff University, UK

    Anatoly Zhigljavsky

Bibliographic Information

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access