Statistical Methods for Materials Science is popular PDF and ePub book, written by Jeffrey P. Simmons in 2019-02-13, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Statistical Methods for Materials Science can be Read Online from any device for your convenience.
Statistical Methods for Materials Science Book PDF Summary
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.
Detail Book of Statistical Methods for Materials Science PDF
- Author : Jeffrey P. Simmons
- Release : 13 February 2019
- Publisher : CRC Press
- ISBN : 9781351647380
- Genre : Technology & Engineering
- Total Page : 690 pages
- Language : English
- PDF File Size : 16,8 Mb
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