01507 a2200361 4500 0367780283 20250317100417.0 250312042021xx eng 9780367780289 Taylor & Francis GBP 45.99 BB 01 eng TGM thema PHFC thema PB thema TGM bic PHFC bic PB bic SCI077000 bisac MAT029000 bisac SCI055000 bisac TEC021000 bisac 620.110727 bisac Jeffrey P. Simmons Statistical Methods for Materials Science The Data Science of Microstructure Characterization 1 CRC Press 20210331 514 p Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection. Lawrence F. Drummy B01 Charles A. Bouman B01 Marc De Graef B01 3001 3001