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Statistical Methods for Materials Science : The Data Science of Microstructure Characterization

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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.

Number of Pages: 514
Genre: Technology, Science, Mathematics
Sub-Genre: Materials Science, Physics, Probability & Statistics
Format: Hardcover
Publisher: Taylor & Francis
Book theme: General, Condensed Matter
Language: English
Street Date: February 18, 2019
TCIN: 53076877
UPC: 9781498738200
Item Number (DPCI): 248-54-1854
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