Optimum Design 2000

Table of Contents

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   Book Overview
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   Chapter 1 Some History Leading to Design Criteria for Bayesian Prediction
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   Chapter 2 Optimal Designs for the Evaluation of an Extremum Point
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   Chapter 3 On Regression Experiment Design in the Presence of Systematic Error
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   Chapter 4 Gröbner Basis Methods in Mixture Experiments and Generalisations
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   Chapter 5 Efficient Designs for Paired Comparisons with a Polynomial Factor
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   Chapter 6 On Generating and Classifying All Q N-M Regular Designs for Square-Free Q
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   Chapter 7 Second-Order Optimal Sequential Tests
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   Chapter 8 Variational Calculus in the Space of Measures and Optimal Design
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    Chapter 9 On the Efficiency of Generally Balanced Designs Analysed by Restricted Maximum Likelihood
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    Chapter 10 Concentration Sets, Elfving Sets and Norms in Optimum Design
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    Chapter 11 Sequential Construction of an Experimental Design from an I.I.D. Sequence of Experiments without Replacement
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    Chapter 12 Optimal Characteristic Designs for Polynomial Models
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    Chapter 13 A Note on Optimal Bounded Designs
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    Chapter 14 Construction of Constrained Optimal Designs
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    Chapter 15 Pharmaceutical Applications of a Multi-Stage Group Testing Method
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    Chapter 16 Block Designs for Comparison of Two Test Treatments with a Control
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    Chapter 17 Optimal Sampling Design with Random Size Clusters for a Mixed Model with Measurement Errors
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    Chapter 18 Optimizing a Unimodal Response Function for Binary Variables
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    Chapter 19 An Optimizing Up-and-Down Design
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    Chapter 20 Further Results on Optimal and Efficient Designs for Constrained Mixture Experiments
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    Chapter 21 Coffee-House Designs
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    Chapter 22 ( D T , C )-Optimal Run Orders
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    Chapter 23 Optimal Design in Flexible Models, Including Feed-Forward Networks and Nonparametric Regression
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    Chapter 24 On Optimal Designs for High Dimensional Binary Regression Models
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    Chapter 25 Planning Herbicide Dose-Response Bioassays Using the Bootstrap
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    Chapter 26 Photo Gallery