Ebook: MODA 5 — Advances in Model-Oriented Data Analysis and Experimental Design: Proceedings of the 5th International Workshop in Marseilles, France, June 22–26, 1998

This volume contains the majority of the papers presented at the 5th Inter­ national Workshop on Model-Oriented Data Analysis held in June 1998. This series started in March 1987 with a meeting on the Wartburg, Eisenach (Germany). The next three meetings were in 1990 (St Kyrik monastery, Bulgaria), 1992 (Petrodvorets, StPetersburg, Russia) and 1995 (Spetses, Greece). The main purpose of these workshops was to bring together lead­ ing scientists from 'Eastern' and 'Western' Europe for the exchange of ideas in theoretical and applied statistics, with special emphasis on experimen­ tal design. Now that the separation between East and West has become less rigid, this dialogue has, in principle, become much easier. However, providing opportunities for this dialogue is as vital as ever. MODA meetings are known for their friendly atmosphere, leading to fruitful discussions and collaboration, especially between young and senior scien­ tists. Indeed, many long term collaborations were initiated during these events. This intellectually stimulating atmosphere is achieved by limiting the number of participants to around eighty, by the choice of location so that participants can live as a community, and, of course, through the care­ ful selection of scientific direction made by the Programme Committee.

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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.

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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.
Content:
Front Matter....Pages I-XIV
Front Matter....Pages 1-1
Optimum Chemical Balance Weighing Designs Under Equal Correlations of Errors....Pages 3-9
E-Optimal Designs for the Double Exponential Model....Pages 11-20
Comparison of Spectral and Hadamard Bounds for D-Optimality....Pages 21-29
Characteristic Polynomial Criteria in Optimal Experimental Design....Pages 31-38
MV-Optimization in Weighted Linear Regression....Pages 39-50
Analytical Theory of E-Optimal Designs for Polynomial Regression on a Segment....Pages 51-58
Optimal Designs for Models with Ignored Heteroscedasticity....Pages 59-66
D-Optimal Designs for Weighted Polynomial Regression Without any Initial Terms....Pages 67-74
Selective Random Search for Optimal Experiment Designs....Pages 75-83
Asymptotic Upper Bounds for the Optimal Design Length in Factor Screening Experiments....Pages 85-92
On the Equal Allocation Rules in Quantal Dose-Response Experiments....Pages 93-101
Front Matter....Pages 103-103
On Sequential Estimation of Parameters for Linear Regression with Martingale Noise....Pages 105-114
Interval Analysis for Guaranteed Nonlinear Parameter Estimation....Pages 115-125
A Numerical Study of Singularly Perturbed Markovian Systems....Pages 127-135
Breakdown Points of Estimators for Aspects of Linear Models....Pages 137-144
Approximate Densities of Two Bias-Corrected Nonlinear LS Estimators....Pages 145-152
On Robust Estimation of a Correlation Coefficient and Correlation Matrix....Pages 153-162
Front Matter....Pages 163-163
Designing Experiments for Adaptively Fitted Models....Pages 165-175
Testing Genetic Parameters in the Mixed Model of Triallel Analysis....Pages 177-185
Non-Parametric Search for Significant Variables of a Linear Model....Pages 187-194
Front Matter....Pages 163-163
Two-Stage Designs for Model Discrimination and Parameter Estimation....Pages 195-203
Determination of the Size of an Experiment....Pages 205-212
Front Matter....Pages 213-213
Multivariate Prediction: Selection of the Most Informative Components to Measure....Pages 215-222
The Generalized ?-Method in Taguchi Experiments....Pages 223-230
Some Statistical Properties of Nested Block Designs....Pages 231-238
A New Interpretation of Design Measures....Pages 239-246
Risk Based Optimal Designs....Pages 247-257
Quality Improvement through Mechanistic Models....Pages 259-269
Front Matter....Pages 271-271
Teaching Experimental Design....Pages 273-281
Discussion on “Teaching Experimental Design”....Pages 283-291
Back Matter....Pages 293-300

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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.
Content:
Front Matter....Pages I-XIV
Front Matter....Pages 1-1
Optimum Chemical Balance Weighing Designs Under Equal Correlations of Errors....Pages 3-9
E-Optimal Designs for the Double Exponential Model....Pages 11-20
Comparison of Spectral and Hadamard Bounds for D-Optimality....Pages 21-29
Characteristic Polynomial Criteria in Optimal Experimental Design....Pages 31-38
MV-Optimization in Weighted Linear Regression....Pages 39-50
Analytical Theory of E-Optimal Designs for Polynomial Regression on a Segment....Pages 51-58
Optimal Designs for Models with Ignored Heteroscedasticity....Pages 59-66
D-Optimal Designs for Weighted Polynomial Regression Without any Initial Terms....Pages 67-74
Selective Random Search for Optimal Experiment Designs....Pages 75-83
Asymptotic Upper Bounds for the Optimal Design Length in Factor Screening Experiments....Pages 85-92
On the Equal Allocation Rules in Quantal Dose-Response Experiments....Pages 93-101
Front Matter....Pages 103-103
On Sequential Estimation of Parameters for Linear Regression with Martingale Noise....Pages 105-114
Interval Analysis for Guaranteed Nonlinear Parameter Estimation....Pages 115-125
A Numerical Study of Singularly Perturbed Markovian Systems....Pages 127-135
Breakdown Points of Estimators for Aspects of Linear Models....Pages 137-144
Approximate Densities of Two Bias-Corrected Nonlinear LS Estimators....Pages 145-152
On Robust Estimation of a Correlation Coefficient and Correlation Matrix....Pages 153-162
Front Matter....Pages 163-163
Designing Experiments for Adaptively Fitted Models....Pages 165-175
Testing Genetic Parameters in the Mixed Model of Triallel Analysis....Pages 177-185
Non-Parametric Search for Significant Variables of a Linear Model....Pages 187-194
Front Matter....Pages 163-163
Two-Stage Designs for Model Discrimination and Parameter Estimation....Pages 195-203
Determination of the Size of an Experiment....Pages 205-212
Front Matter....Pages 213-213
Multivariate Prediction: Selection of the Most Informative Components to Measure....Pages 215-222
The Generalized ?-Method in Taguchi Experiments....Pages 223-230
Some Statistical Properties of Nested Block Designs....Pages 231-238
A New Interpretation of Design Measures....Pages 239-246
Risk Based Optimal Designs....Pages 247-257
Quality Improvement through Mechanistic Models....Pages 259-269
Front Matter....Pages 271-271
Teaching Experimental Design....Pages 273-281
Discussion on “Teaching Experimental Design”....Pages 283-291
Back Matter....Pages 293-300
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