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  • © 2023

Springer Handbook of Engineering Statistics


  • New edition chapters on hot topics including big data, statistical AI, and statistical reliability modeling

  • 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

Part of the book series: Springer Handbooks (SHB)

Buying options

Hardcover Book USD 399.00
Price excludes VAT (USA)
This title has not yet been released. You will be able to pre-order it soon.

About this book

This handbook gathers the full range of statistical techniques and tools required by engineers, analysts and scientists 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.  

The tools of engineering statistics are relevant for 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 finally to achieve realistic predictions on how to improve processes and products. 

This book contains contributions from around 115 leading experts in statistics, biostatistics, engineering statistics, reliability engineering, and related areas. It covers the various methods as well as their applications from industrial control to failure mechanism and analysis, medicine, business intelligence, electronic packaging, and risk management. It enables readers to choose the most appropriate method through its 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. Included are also more than 30 completely new contriubutions 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, related statistical artificial intelligence (AI) and reliability physics and failure mode mechanisms.

This 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.


  • Engineering Statistics
  • Applied Statistics and Engineering
  • Engineering and Business Management
  • Data Science and Analytics
  • Statistical Machine Learning

Editors and Affiliations

  • Department of Industrial & Systems Engineering, Rutgers University, Piscataway, USA

    Hoang Pham

About the editor

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).

Bibliographic Information

Buying options

Hardcover Book USD 399.00
Price excludes VAT (USA)
This title has not yet been released. You will be able to pre-order it soon.