Statistical Methods for Materials Science: The Data Science of Microstructure Characterization
ISBN 10: 1498738206 ISBN 13: 9781498738200
Published by CRC Press, 2019
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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.
About the Author: Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef
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Title: Statistical Methods for Materials Science: ...
Publisher: CRC Press
Publication Date: 2019
Binding: Hardcover
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Statistical Methods for Materials Science (Hardcover)
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ISBN 10: 1498738206
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Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781498738200
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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization
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Statistical Methods for Materials Science (Hardcover)
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ISBN 10: 1498738206
ISBN 13: 9781498738200
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Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781498738200
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