Statistical Methods for Materials Science: The Data Science of Microstructure Characterization
By: and and and
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- Synopsis
- 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.
- Copyright:
- 2019
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 514 Pages
- ISBN-13:
- 9781351647380
- Related ISBNs:
- 9780367780289, 9781498738200, 9781315121062
- Publisher:
- CRC Press
- Date of Addition:
- 07/12/23
- Copyrighted By:
- Taylor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Technology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Jeffrey P. Simmons
- Edited by:
- Lawrence F. Drummy
- Edited by:
- Charles A. Bouman
- Edited by:
- Marc De Graef
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- by Jeffrey P. Simmons
- by Lawrence F. Drummy
- by Charles A. Bouman
- by Marc De Graef
- in Nonfiction
- in Science
- in Technology
- in Mathematics and Statistics