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Some history leading to design criteria for Bayesian prediction

Atkinson, Anthony and Fedorov, V. V (2001) Some history leading to design criteria for Bayesian prediction. In: Atkinson, Anthony, Bogacka, Barbara and Zhigljavsky, Anatoly. A, (eds.) Optimum Design 2000. Kluwer Academic Publishers, Dordrecht, pp. 3-14. ISBN 9780792367987

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Abstract

The chapters in this volume present the state of optimum experimental design at the beginning of the new millennium, with an emphasis on developing areas. The contributions range from theory to applications, starting with a glimpse back to the beginnings of optimum experimental design. Theoretical chapters cover the properties and methods of construction of designs. Applications include chapters on sequential design problems in the pharmaceutical industry and on the designs with discrete factors in agriculture. There are chapters on training neural networks, on the efficient selection of sampling methods, and on problems arising in glass making and in herbicide resistance of Brazilian weeds. The contributors, from a variety of countries, include many acknowledged experts whose work reflects the international spread of activity in the subject. Audience: Experimentalists as well as research workers and students in statistics will find much to interest them in these papers.

Item Type: Book Section
Official URL: http://www.springerlink.com/home/main.mpx
Additional Information: © 2001 Kluwer Academic Publishers
Library of Congress subject classification: G Geography. Anthropology. Recreation > G Geography (General)
N Fine Arts > NX Arts in general
Sets: Departments > Statistics
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Date Deposited: 29 Oct 2008 13:50
URL: http://eprints.lse.ac.uk/11902/

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