Statistical Methods for Materials Science

Jeffrey P. Simmons

ISBN 10: 0367780283 / ISBN 13: 9780367780289

Edité par CRC Press Mär 2021, 2021

A propos de cet article

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 538 pp. Englisch.

N° de réf. du vendeur 9780367780289

Détails bibliographiques

• Titre: Statistical Methods for Materials Science
• Éditeur: CRC Press Mär 2021
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 0367780283
• ISBN à 13 chiffres: 9780367780289
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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