Overview
- Broadens readers’ understanding of computational methods in reliability and statistics used in academia and industry
- Brings together theoretical and practical aspects through contributions from experts in the field
- Presents practical applications in big data and machine learning approaches
Part of the book series: Springer Series in Reliability Engineering (RELIABILITY)
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Table of contents (18 chapters)
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Front Matter
Keywords
About this book
This book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing.
The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems.
Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.
Editors and Affiliations
About the editor
Dr Hoang Pham is a Distinguished Professor and former Chairman (2007–2013) of the Department of Industrial and Systems Engineering at Rutgers University, New Jersey. Before joining Rutgers, he was a Senior Engineering Specialist with the Boeing Company and the Idaho National Engineering Laboratory. He has served as editor-in-chief, editor, associate editor, guest editor, and board member of numerous journals. He is the editor of Springer book series on reliability engineering and of World Scientific book series on industrial and systems engineering and has been the conference chair and program chair of over 40 international conferences. He is the author or coauthor of 6 books and has published over 170 journal articles and edited 12 books, including the Springer Handbook in Engineering Statistics and Handbook in Reliability Engineering. He has delivered over 40 invited keynote and plenary speeches at various international conferences. His numerous awards include the 2009 IEEE Reliability Society Engineer of the Year Award. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Industrial Engineers (IIE).
Bibliographic Information
Book Title: Reliability and Statistical Computing
Book Subtitle: Modeling, Methods and Applications
Editors: Hoang Pham
Series Title: Springer Series in Reliability Engineering
DOI: https://doi.org/10.1007/978-3-030-43412-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-43411-3Published: 29 March 2020
Softcover ISBN: 978-3-030-43414-4Published: 29 March 2021
eBook ISBN: 978-3-030-43412-0Published: 28 March 2020
Series ISSN: 1614-7839
Series E-ISSN: 2196-999X
Edition Number: 1
Number of Pages: XIII, 317
Number of Illustrations: 47 b/w illustrations, 57 illustrations in colour
Topics: Quality Control, Reliability, Safety and Risk, Performance and Reliability, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Probability and Statistics in Computer Science