Statistical Methods for Materials Science: The Data Science of Microstructure Characterization
ISBN-13:
9781498738200
ISBN-10:
1498738206
Edition:
1
Author:
Marc De Graef, Charles A. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy
Publication date:
2019
Publisher:
CRC Press
Format:
Hardcover
536 pages
Category:
Materials & Material Science
,
Engineering
FREE US shipping
Book details
ISBN-13:
9781498738200
ISBN-10:
1498738206
Edition:
1
Author:
Marc De Graef, Charles A. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy
Publication date:
2019
Publisher:
CRC Press
Format:
Hardcover
536 pages
Category:
Materials & Material Science
,
Engineering
Summary
Statistical Methods for Materials Science: The Data Science of Microstructure Characterization (ISBN-13: 9781498738200 and ISBN-10: 1498738206), written by authors
Marc De Graef, Charles A. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, was published by CRC Press in 2019.
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Description
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.
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