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portada Statistical Methods for Materials Science: The Data Science of Microstructure Characterization (in English)
Type
Physical Book
Publisher
Author
Year
2019
Language
Inglés
Pages
536
Format
Hardcover
ISBN13
9781498738200
Edition No.
1
Categories

Statistical Methods for Materials Science: The Data Science of Microstructure Characterization (in English)

Simmons, Jeffrey P. ; Drummy, Lawrence F. ; Bouman, Charles A. (Author) · CRC Press · Hardcover

Statistical Methods for Materials Science: The Data Science of Microstructure Characterization (in English) - Simmons, Jeffrey P. ; Drummy, Lawrence F. ; Bouman, Charles A.

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Synopsis "Statistical Methods for Materials Science: The Data Science of Microstructure Characterization (in English)"

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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