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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization - Softcover
Synopsis
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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About the Author
Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef
"About this title" may belong to another edition of this title.
- PublisherCRC Press
- Publication date2021
- ISBN 10 0367780283
- ISBN 13 9780367780289
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages536
- EditorDrummy Lawrence F., Bouman Charles A., De Graef Marc, Simmons Jeffrey P.
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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization
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Taylor & Francis Ltd, 2021
ISBN 10: 0367780283
ISBN 13: 9780367780289
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 538 pp. Englisch. Seller Inventory # 9780367780289
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