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Statistical Methods for Materials Science

The Data Science of Microstructure Characterization

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Statistical Methods for Materials Science Jeffrey P. Simmons
Libristo code: 40061334
Publishers CRC Press, February 2019
Data analytics has become an integral part of materials science. This book provides the practical to... Full description
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25 282 Ft
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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.

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About the book

Full name Statistical Methods for Materials Science
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2019
Number of pages 514
EAN 9781351647380
Libristo code 40061334
Publishers CRC Press
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