Statistical Methods for Materials Science: The Data Science of Microstructure Characterization 1st Edition

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. Statistical Methods for Materials Science: The Data Science of Microstructure Characterization 1st Edition is written by Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman and Marc De Graef and published by CRC Press. ISBNs for Statistical Methods for Materials Science are 9781351647380, 1351647385 and the print ISBNs are 9781498738200, 1498738206. Additional ISBNs include 9781498738217, 9781315121062, 9780367780289, 9781351637879.