9781498738200-1498738206-Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

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

ISBN-13: 9781498738200
ISBN-10: 1498738206
Edition: 1
Author: Marc De Graef, Charles A. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy
Publication date: 2019
Publisher: CRC Press
Format: Hardcover 536 pages
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Book details

ISBN-13: 9781498738200
ISBN-10: 1498738206
Edition: 1
Author: Marc De Graef, Charles A. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy
Publication date: 2019
Publisher: CRC Press
Format: Hardcover 536 pages

Summary

Statistical Methods for Materials Science: The Data Science of Microstructure Characterization (ISBN-13: 9781498738200 and ISBN-10: 1498738206), written by authors Marc De Graef, Charles A. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, was published by CRC Press in 2019. With an overall rating of 3.8 stars, it's a notable title among other Materials & Material Science (Engineering) books. You can easily purchase or rent Statistical Methods for Materials Science: The Data Science of Microstructure Characterization (Hardcover) from BooksRun, along with many other new and used Materials & Material Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

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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