Statistical Methods for Materials Science

The Data Science of Microstructure Characterization

Nonfiction, Science & Nature, Science, Physics, Solid State Physics, Technology, Material Science, Mathematics, Statistics
Cover of the book Statistical Methods for Materials Science by , CRC Press
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Author: ISBN: 9781351647380
Publisher: CRC Press Publication: February 13, 2019
Imprint: CRC Press Language: English
Author:
ISBN: 9781351647380
Publisher: CRC Press
Publication: February 13, 2019
Imprint: CRC Press
Language: 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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