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Statistical Methods for Materials Science : The Data Science of Microstructure Characterization - Jeffrey P. Simmons

Statistical Methods for Materials Science

The Data Science of Microstructure Characterization

By: Jeffrey P. Simmons (Editor), Lawrence F. Drummy (Editor), Charles A. Bouman (Editor)

Paperback | 31 March 2021 | Edition Number 1

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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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Hardcover

Published: 6th February 2019

Available for Backorder. We will order this from our supplier however there isn't a current ETA.

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