Springer Handbooks
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Springer Handbook of Engineering Statistics

Editors: Pham, Hoang (Ed.)

  • New edition chapters on hot topics including big data, statistical AI, statistical reliability modelling
  • A wide selection of statistical techniques and tools enable the reader to choose the most appropriate methods
  • Guided by a distinguished international Advisory and Editorial Board, ensuring clarity and precision
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eBook  
  • ISBN 978-1-4471-7503-2
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover ca. $399.99
price for USA in USD
  • Due: June 12, 2022
  • ISBN 978-1-4471-7502-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
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About this book

This handbook gathers the full range of statistical techniques and tools required by engineers from all fields. The book is a comprehensive place to look for methods and solutions to practical problems within - but not limited to - data science, quality assurance in design and production engineering. 

Engineering statistics tools are can be used for the modeling and prediction of products, processes and services, but also for the analysis of ongoing processes, the reliability and life-cycle assessment of products and services, and to achieve realistic predictions on how to improve processes and products. 

This book contains contributions from over 75 leading experts in statistics, biostatistics, engineering statistics, and related areas. It describes method as well as their applications - from industrial control to failure mechanism and analysis, medicine,  business intelligence and financial risk management. It enables readers to choose the most appropriate method from a wide range of selection of statistical techniques and tools.

For the second edition all chapters have been thoroughly updated to reflect the current state-of-the-art and the new edition also adds more than 30 new chapters revolving around current trends related to modern statistical computing, including: data science, big data, machine learning, optimization, data fusion, high- dimensional data, voting systems, life testing, and related statistical artificial intelligence (AI) and reliability physics and failure mode mechanisms.

The Springer Handbook of Engineering Statistics provides comprehensive literature with up-to-date statistical methodologies, algorithms, computation methods and tools that can be served as a main reference for researchers, engineers, business analysts, educators and students in all applied fields affected by statistics.


About the authors

Dr. Hoang Pham is a Distinguished Professor and former Chairman of the Department of Industrial and Systems Engineering at Rutgers University, New Jersey. Before joining Rutgers, he was a Senior Engineering Specialist with the Idaho National Engineering Laboratory and Boeing Company. He received the B.S. degrees in mathematics and in computer science with high honors from Northeastern Illinois University, Chicago, the M.S. degree in statistics from the University of Illinois, Urbana-Champaign, and the M.S. and Ph.D. degrees in industrial engineering from the State University of New York at Buffalo. His research areas include reliability engineering, software reliability, and statistical inference. 
He has served as editor, associate editor, and guest editor of many journals including IEEE Trans. on Systems, Man and Cybernetics (Part A), IEEE Trans. on Reliability. He is editor-in-chief of the International Journal of Reliability, Quality and Safety Engineering. He is the editor of Springer Series in Reliability Engineering and has been conference chair and program chair of over 40 international conferences and workshops. He is the author or coauthor of 7 books and has published over 200 journal articles, 100 conference papers, and edited 20 books including Handbook in Reliability Engineering (Springer). He has delivered over 40 invited keynote and plenary speeches at many international conferences and institutions. 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 and Systems Engineers (IISE).

Buy this book

eBook  
  • ISBN 978-1-4471-7503-2
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover ca. $399.99
price for USA in USD
  • Due: June 12, 2022
  • ISBN 978-1-4471-7502-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions

Services for this Book

Bibliographic Information

Bibliographic Information
Book Title
Springer Handbook of Engineering Statistics
Editors
  • Hoang Pham
Series Title
Springer Handbooks
Copyright
2022
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London Ltd., part of Springer Nature
eBook ISBN
978-1-4471-7503-2
Hardcover ISBN
978-1-4471-7502-5
Series ISSN
2522-8692
Edition Number
2
Number of Illustrations
50 illustrations in colour
Topics