Parametric and Non-Parametric Methods of Data Analysis at Multiscale Modeling : Selected, Peer Reviewed Papers from the 11th World Congress on Computational Mechanics (WCCMXI), July 20-25, 2014, Barcelona, Spain / edited by Agnieszka Szczotok, Jacek Pietraszek and Norbert Radek.
Parametric and Non-Parametric Methods of Data Analysis at Multiscale Modeling; Preface and Conference Organizers; Table of Contents; The Uncertainty and Robustness of the Principal Component Analysis as a Tool for the Dimensionality Reduction; The Principal Component Analysis of Tribological Tests of Surface Layers Modified with IF-WS2 Nanoparticles; The Empirical Assessment of the Convergence Rate for the Bootstrap Estimation in Design of Experiment Approach; The Bootstrap Analysis of One-Way ANOVA Stability in the Case of the Ceramic Shell Mould of Airfoil Blade Casting.
An Iterative Shooting Method for the Solution of Higher Order Boundary Value Problems with Additional Boundary Conditions; The Parametric RSM Model with Higher Order Terms for the Meat Tumbler Machine Process; The Impact of Detection Methods on the Results of Quantitative Analysis of the Surface Layer WC-CoAl2O3; Ionic Polymer-Metal Composite Actuators: Investigation of Parametric Model Based on Electrical Values; Keywords Index; Authors Index.
Summary
The minisymposium ""Parametric and Non-Parametric Methods of Data Analysis at Multiscale Modeling"" provided an opportunity to exchange ideas and experiences at the crossroads of three disciplines : materials science, image analysis and statistical data analysis, where new research possibilities have appeared with the rapid development of computer hardware: an increase in the processing speed and the size of the memory available - there has been a rapid development of data analysis methods that were previously not possible to use in practice due to the required computing power.
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