Statistical Methods for Materials Science The Data Science of Microstructure Characterization

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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 details

Author:
Jeffrey P. Simmons, Charles A. Bouman, Marc De Graef, Lawrence F. Drummy
ISBN:
9781498738217
Related ISBNs:
9781498738217, 9781315121062, 9781315121062, 9781498738200, 9781498738200, 9780367780289, 9781498738200, 9781315121062
Publisher:
CRC Press
Pages:
514
Reading age:
Not specified
Includes images:
No
Date of addition:
2020-03-22
Usage restrictions:
Copyright
Copyright date:
2019
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction, Science, Technology