Overview

"The Fifth International Workshop on Model-Oriented Data Analysis (MODA5) focused on experimental design, particularly optimum design. A strength of this series of workshops is that they bring together leading scientists from ""Eastern"" and ""Western"" Europe. The proceedings therefore provides a valuable reference to the work of groups from many countries. In addition to 11 papers on optimum designs for linear and nonlinear models, there are groups of papers on designs for quality improvement, designs in agriculture and for model building. Non-design problems include robustness in linear models and estimation problems in nonlinear models. The volume concludes with a discussion on the teaching of experimental design."

Full Product Details

Author:   Anthony C. Atkinson ,  Luc Pronzato ,  Henry P. Wynn
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   Softcover reprint of the original 1st ed. 1998
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   1.010kg
ISBN:  

9783790811117

ISBN 10:   3790811114
Pages:   300
Publication Date:   20 May 1998
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1: Optimal Design.- 1 Optimum Chemical Balance Weighing Designs Under Equal Correlations of Errors.- 2 E-Optimal Designs for the Double Exponential Model.- 3 Comparison of Spectral and Hadamard Bounds for D-Optimality.- 4 Characteristic Polynomial Criteria in Optimal Experimental Design.- 5 MV-Optimization in Weighted Linear Regression.- 6 Analytical Theory of E-Optimal Designs for Polynomial Regression on a Segment.- 7 Optimal Designs for Models with Ignored Heteroscedasticity.- 8 D-Optimal Designs for Weighted Polynomial Regression Without any Initial Terms.- 9 Selective Random Search for Optimal Experiment Designs.- 10 Asymptotic Upper Bounds for the Optimal Design Length in Factor Screening Experiments.- 11 On the Equal Allocation Rules in Quantal Dose-Response Experiments.- 2: Parameter Estimation.- 12 On Sequential Estimation of Parameters for Linear Regression with Martingale Noise.- 13 Interval Analysis for Guaranteed Nonlinear Parameter Estimation.- 14 A Numerical Study of Singularly Perturbed Markovian Systems.- 15 Breakdown Points of Estimators for Aspects of Linear Models.- 16 Approximate Densities of Two Bias-Corrected Nonlinear LS Estimators.- 17 On Robust Estimation of a Correlation Coefficient and Correlation Matrix.- 3: Hypothesis Testing.- 18 Designing Experiments for Adaptively Fitted Models.- 19 Testing Genetic Parameters in the Mixed Model of Triallel Analysis.- 20 Non-Parametric Search for Significant Variables of a Linear Model.- 21 Two-Stage Designs for Model Discrimination and Parameter Estimation.- 22 Determination of the Size of an Experiment.- 4: Foundations and Developments in Experimental Design.- 23 Multivariate Prediction: Selection of the Most Informative Components to Measure.- 24 The Generalized ?-Method in Taguchi Experiments.- 25Some Statistical Properties of Nested Block Designs.- 26 A New Interpretation of Design Measures.- 27 Risk Based Optimal Designs.- 28 Quality Improvement Through Mechanistic Models.- 5: The Teaching of Experimental Design.- 29 Teaching Experimental Design.- 30 Discussion on “Teaching Experimental Design”.- List of Contributors.

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