Statistical Methods for Materials Science The Data Science of Microstructure Characterization
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.
9780367780289
Taylor & Francis GBP 45.99 BB
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.
9780367780289
Taylor & Francis GBP 45.99 BB