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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization Simmons, Jeffrey P. (Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, USA) 1st edition
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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization
Simmons, Jeffrey P. (Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, USA)
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.
514 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | March 31, 2021 |
| ISBN13 | 9780367780289 |
| Publishers | Taylor & Francis Ltd |
| Pages | 514 |
| Dimensions | 150 × 220 × 10 mm · 453 g |
| Language | English |
| Editor | Bouman, Charles A. (Purdue University, ECE and Biomedical Engineering, West Lafayette, Indiana, USA) |
| Editor | De Graef, Marc (Carnegie Mellon University, Department of Materials Science and Engineering, Pittsburgh, Pennsylvania, USA) |
| Editor | Drummy, Lawrence F. (Carnegie Mellon University, Materials Science and Engineering Department, Pittsburgh, Pennsylvania, USA) |
| Editor | Simmons, Jeffrey P. (Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, USA) |
