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Mathematics - Probability Theory and Stochastic Processes | MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design - Proceedings of the

MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design

Proceedings of the 5th International Workshop in Marseilles, France, June 22–26, 1998

Atkinson, Anthony, Pronzato, Luc, Wynn, Henry P. (Eds.)

Softcover reprint of the original 1st ed. 1998, XVI, 300 pp. 18 figs., 30 tabs.

A product of Physica Verlag Heidelberg
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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.

Content Level » Research

Keywords » Analysis - Estimator - Measure - STATISTICA - best fit - data analysis - linear regression - optimization

Related subjects » Applications - Business, Economics & Finance - Operations Research & Decision Theory - Probability Theory and Stochastic Processes

Table of contents 

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'.

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