9781119373520-1119373522-System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition (Wiley Series in Probability and Statistics)

System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition (Wiley Series in Probability and Statistics)

ISBN-13: 9781119373520
ISBN-10: 1119373522
Edition: 3
Author: Marvin Rausand, Anne Barros, Arnljot Hoyland
Publication date: 2020
Publisher: Wiley
Format: Hardcover 864 pages
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Book details

ISBN-13: 9781119373520
ISBN-10: 1119373522
Edition: 3
Author: Marvin Rausand, Anne Barros, Arnljot Hoyland
Publication date: 2020
Publisher: Wiley
Format: Hardcover 864 pages

Summary

System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition (Wiley Series in Probability and Statistics) (ISBN-13: 9781119373520 and ISBN-10: 1119373522), written by authors Marvin Rausand, Anne Barros, Arnljot Hoyland, was published by Wiley in 2020. With an overall rating of 3.7 stars, it's a notable title among other Industrial, Manufacturing & Operational Systems (Engineering) books. You can easily purchase or rent System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition (Wiley Series in Probability and Statistics) (Hardcover) from BooksRun, along with many other new and used Industrial, Manufacturing & Operational Systems books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $50.55.

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. 

 

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