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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) 第1 版
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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
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2021年3月31日 |
| ISBN13 | 9780367780289 |
| 出版社 | Taylor & Francis Ltd |
| ページ数 | 514 |
| 寸法 | 150 × 220 × 10 mm · 453 g |
| 言語 | 英語 |
| 編集者 | Bouman, Charles A. (Purdue University, ECE and Biomedical Engineering, West Lafayette, Indiana, USA) |
| 編集者 | De Graef, Marc (Carnegie Mellon University, Department of Materials Science and Engineering, Pittsburgh, Pennsylvania, USA) |
| 編集者 | Drummy, Lawrence F. (Carnegie Mellon University, Materials Science and Engineering Department, Pittsburgh, Pennsylvania, USA) |
| 編集者 | Simmons, Jeffrey P. (Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, USA) |
