EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Statistical Methods For Materials Science The Data Science Of Microstructure Characterization 1st Edition Jeffrey P Simmons

Name: Statistical Methods For Materials Science The Data Science Of Microstructure Characterization 1st Edition Jeffrey P Simmons
SKU: BELL-10507084
Price: 31.00 USD
Availability: InStock
Rating: 4 (46 reviews)

SKU: BELL-10507084

$ 31.00 ~~$ 45.00~~ (-31%)

4.0

46 reviews

Statistical Methods For Materials Science The Data Science Of Microstructure Characterization 1st Edition Jeffrey P Simmons instant download after payment.

Publisher: CRC Press

File Extension: PDF

File size: 113.81 MB

Author: Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef

ISBN: 9781315121062, 9781351637879, 9781351647380, 9781498738200, 9781498738217, 1315121069, 1351637878, 1351647385, 1498738206

Language: English

Year: 2019

Edition: 1

Product desciption

Statistical Methods For Materials Science The Data Science Of Microstructure Characterization 1st Edition Jeffrey P Simmons by Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef 9781315121062, 9781351637879, 9781351647380, 9781498738200, 9781498738217, 1315121069, 1351637878, 1351647385, 1498738206 instant download after payment.

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.