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. 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 25 Some 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.