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Optimal Designs by Martijn P. F. Berger
Book DescriptionThere is an increasing need to rein in the cost of scientific study without sacrificing accuracy in statistical inference. Optimal design is the judicious allocation of resources to achieve the objectives of studies using minimal cost via careful statistical planning. Researchers and practitioners in various fields of applied science are now beginning to recognize the advantages and potential of optimal experimental design. Applied Optimal Designs is the first book to catalogue the application of optimal design to real problems, documenting its widespread use across disciplines as diverse as drug development, education and ground water modelling. Includes contributions covering: * Bayesian design for measuring cerebral blood-flow * Optimal designs for biological models * Computer adaptive testing * Ground water modelling * Epidemiological studies and pharmacological models Applied Optimal Designs bridges the gap between theory and practice, drawing together a selection of incisive articles from reputed collaborators. Broad in scope and inter-disciplinary in appeal, this book highlights the variety of opportunities available through the use of optimal design. The wide range of applications presented here should appeal to statisticians working with optimal designs, and to practitioners new to the theory and concepts involved.
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Book DetailsISBN: 9780470856970
(237mm x 164mm x 22mm)
Imprint: John Wiley & Sons Ltd
Publisher: John Wiley and Sons Ltd
Publish Date: 26-Jan-2005
Country of Publication: United Kingdom
Books By Author Martijn P. F. Berger
Introduction to Optimal Designs for Social and Biomedical Research, Hardback (May 2009)» View all books by Martijn P. F. Berger
Introduces optimal experimental design, in an accessible style that means very minimal mathematical background knowledge is needed. Provides guidelines for practitioners to increase the efficiency of their designs, demonstrating how optimal designs can reduce a study's costs and sample sizes.
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Author Biography - Martijn P. F. Berger
Martijn P.F. Berger, Department of Methodology and Statistics, University of Maastricht, the Netherlands, and Weng Kee Wong, Department of Biostatistics, School of Public Health, UCLA, USA.
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