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

Summary

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.

Product details

• Authors: Jeffrey P. (Air Force Research Laboratory Simmons, Jeffrey P. Drummy Simmons
• Assisted by: Charles A. Bouman (Editor), Bouman Charles A. (Editor), Marc De Graef (Editor), De Graef Marc (Editor), Lawrence F. Drummy (Editor), Jeffrey P. Simmons (Editor), Lawrence F. ummy (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 06.02.2019
• EAN: 9781498738200
• ISBN: 978-1-4987-3820-0
• No. of pages: 536
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, SCIENCE / Physics / General, SCIENCE / Physics / Condensed Matter, Materials science, Probability & statistics, Probability and statistics, TECHNOLOGY & ENGINEERING / Materials Science / General