I Optimal Design --; Optimal Designs for Time --; Dependent Responses --; Robust Optimal Designs with Constraints --; Bayesian Designs for Approximate Normality --; Simulation Approach to One-Stage and Sequential Optimal Design Problems --; One Bound for the Mean Duration of Sequential Testing Homogeneity --; MV-optimization in Simple Linear Regression --; On the Support Points of D-Optimal Nonlinear Experimental Designs for Chemical Kinetics --; Designing Experiments for Additive Nonlinear Models --; D-Optimal Designs for Generalized Linear Models --; Further Results on Optimal Designs for Generalized Tic Polynomials on the Simplex --; Relations between Spring and Chemical Balance Weighing Designs with the Diagonal Covariance Matrix of Errors --; Optimal Design for Experiments with Potentially Failing Trials --; Regression Design for One-Dimensional Subspaces --; D-Optimal First Order Saturated Designs with n? 2mod4 Observations --; On Information Matrices for Fixed and Random Parameters in Generally Balanced Experimental Block Designs --; Estimation of Parameters in Factorial Triallel Analysis for BIB Design --; the Mixed Model --; On the Optimality of Certain Nested Block Designs under a Mixed Effects Model --; Construction of A-Optimum Cross-Over Designs --; An Algorithm for Sampling Optimization for Semivariogram Estimation --; II Estimation and Optimization --; Multivariate Transformations, Regression Diagnostics and Seemingly Unrelated Regression --; Regression Rank Scores: Asymptotic Linearity and RR-Estimators --; The Asymptotic Distribution of Regression Parameters --; Some Simulation Results on Cross-Validation and Competitors for Model Choice --; Robust Estimation of Non-linear Aspects --; Robust Minimax Adaptive M-Estimators of Regression Parameters --; Modeling Heterogeneity and Extraneous Variation Using Weighted Distributions --; Gibbs Sampling for ARCH Models in Finance --; A Class of Recursive Algorithms Using Non-parametric Methods with Constant Step Size and Window Width: A Numerical Study --; Robust Design of Products Depending on Both Qualitative and Quantitative Factors --; Improving on Golden-Section Optimisation for Locally Symmetric Functions.
The meeting covers theoretical and applied statistics with a heavy emphasis on experimental design. The corresponding approaches are fundamentally based on the idea that a system (object and experiment) has to be described by some mathematical model to make any experimental design reasonable. This proceedings volume consists of three main parts: I. Optimal Design II. Regression Analysis III. Statistical Applications.