Moda4 -- Advances in Model-Oriented Data Analysis: Proceedings of the 4th International Workshop in Spetses, Greece June 5-9, 1995

ISBN-13: 9783790808643 / Angielski / Miękka / 1995 / 297 str.

W. G. Muller; C. P. Kitsos; Christos P. Kitsos

Opis

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

Spis treści

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.