Statistical Methods for Materials Science
ISBN-13:
9780367780289
ISBN-10:
0367780283
Edition:
1
Author:
Marc De Graef, Charles A. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy
Publication date:
2021
Publisher:
CRC Press
Format:
Paperback
514 pages
Category:
Materials & Material Science
,
Electromagnetism
,
Physics
,
Solid-State Physics
,
Engineering
FREE US shipping
Book details
ISBN-13:
9780367780289
ISBN-10:
0367780283
Edition:
1
Author:
Marc De Graef, Charles A. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy
Publication date:
2021
Publisher:
CRC Press
Format:
Paperback
514 pages
Category:
Materials & Material Science
,
Electromagnetism
,
Physics
,
Solid-State Physics
,
Engineering
Summary
Statistical Methods for Materials Science (ISBN-13: 9780367780289 and ISBN-10: 0367780283), written by authors
Marc De Graef, Charles A. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, was published by CRC Press in 2021.
With an overall rating of 4.3 stars, it's a notable title among other
Materials & Material Science
(Electromagnetism, Physics, Solid-State Physics, Engineering) books. You can easily purchase or rent Statistical Methods for Materials Science (Paperback) from BooksRun,
along with many other new and used
Materials & Material Science
books
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Description
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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