System Reliability Theory

Models, Statistical Methods, and Applications de

, ,

Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2020-10-20

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Description

Handbook and reference for industrial statisticians and system reliability engineers 
System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition presents an updated and revised look at system reliability theory, modeling, and analytical methods.  The new edition is based on feedback to the second edition from numerous students, professors, researchers, and industries around the world.  New sections and chapters are added together with new real-world industry examples, and standards and problems are revised and updated. 
System Reliability Theory covers a broad and deep array of system reliability topics, including: 
·         In depth discussion of failures and failure modes 
·         The main system reliability assessment methods 
·         Common-cause failure modeling 
·         Deterioration modeling 
·         Maintenance modeling and assessment using Python code 
·         Bayesian probability and methods 
·         Life data analysis using R 
Perfect for undergraduate and graduate students taking courses in reliability engineering, this book also serves as a reference and resource for practicing statisticians and engineers.  
Throughout, the book has a practical focus, incorporating industry feedback and real-world industry problems and examples. 
 
Pages
864 pages
Collection
Wiley Series in Probability and Statistics
Parution
2020-10-20
Marque
Wiley
EAN papier
9781119373520
EAN EPUB
9781119373957

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
864
Taille du fichier
31140 Ko
Prix
180,35 €