Moda 5 : advances in model-oriented data analysis and experimental design : proceedings of the 5th international workshop in Marseilles, France, June 22-26, 1998
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Optimal Design: Optimum Chemical Balance Weighing Designs Under Equal Correlations of Errors E-Optimal Designs for the Double Exponential Model Comparison of Spectral and Hadamard Bounds for D-Optimality Characteristic Polynomial Criteria in Optimal Experimental Design MV-Optimization in Weighted Linear Regression Analytical Theory of E-Optimal Designs for Polynomial Regression on a Segment Optimal Designs for Models with Ignored Heteroscedasticity D-Optimal Designs for Weighted Polynomial Regression Without any Initial Terms Selective Random Search for Optimal Experimental Designs Asymptotic Upper Bounds for the Optimal Design Length in Factor Screening Experiments On the Equal Allocation Rules in Quantal Dose-Response Experiments.- Parameter Estimation: On Sequential Estimation of Parameters for Linear Regression with Martingale Noise Interval Analysis for Guaranteed Nonlinear Parameter Estimation A Numerical Study of Singularly Pertubed Markovian Systems Breakdown Points of Estimators for Aspects of Linear Models Approximate Densities of Two Bias-Corrected Nonlinear LS Estimators On Robust Estimation of a Correlation Coefficient and Correlation Matrix.- Hypothesis Testing: Designing Experiments for Adaptively Fitted Models Testing Genetic Parameters in the Mixed Model of Triallel Analysis Non-Parametric Search for Significant Variables of a Linear Model Two-Stage Designs for Model Discrimination and Parameter Estimation Determination of the Size of an Experiment.- Foundations and Developments in Experimental Design: Multivariate Prediction: Selection of the Most Informative Components to Measure The Generalized Beta-Method in Taguchi Experiments Some Statistical Properties of Nested Block Designs A New Interpretation of Design Measures Risk Based Optimal Designs Quality Improvement Through Mechanistic Models.- The Teaching of Experimental Design: Teaching Experimental Design Discussion on 'Teaching Experimental Design'.