Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

By: Marc De Graef and Jeffrey P. Simmons and Lawrence F. Drummy and Charles A. Bouman

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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.

Book Quality:: Publisher Quality
Book Size:: 514 Pages
ISBN-13:: 9781498738217
Related ISBNs:: 9781498738217, 9781315121062, 9781315121062, 9781498738200, 9781498738200, 9780367780289, 9781498738200, 9781315121062
Publisher:: CRC Press
Date of Addition:: 03/22/20
Copyrighted By:: N/A
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