Statistical Methods for Materials Science - The Data Science of Microstructure Characterization (Hardcover)

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.

General

Imprint:	Productivity Press
Country of origin:	United States
Release date:	February 2019
Editors:	Jeffrey P. Simmons • Lawrence F. Drummy • Charles A. Bouman • Marc De Graef
Dimensions:	254 x 178 x 35mm (L x W x T)
Format:	Hardcover
Pages:	514
ISBN-13:	978-1-4987-3820-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Physics > States of matter > Condensed matter physics (liquids & solids) Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
LSN:	1-4987-3820-6
Barcode:	9781498738200

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