Overview
- 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)
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Table of contents (57 chapters)
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Front Matter
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Fundamental Statistics and Its Applications
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Front Matter
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Process Monitoring and Improvement
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Front Matter
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Keywords
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, businessintelligence, 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 contributions 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 bystatistics.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Springer Handbook of Engineering Statistics
Editors: Hoang Pham
Series Title: Springer Handbooks
DOI: https://doi.org/10.1007/978-1-4471-7503-2
Publisher: Springer London
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag London Ltd., part of Springer Nature 2023
Hardcover ISBN: 978-1-4471-7502-5Published: 21 April 2023
eBook ISBN: 978-1-4471-7503-2Published: 20 April 2023
Series ISSN: 2522-8692
Series E-ISSN: 2522-8706
Edition Number: 2
Number of Pages: XXVI, 1150
Number of Illustrations: 400 illustrations in colour
Topics: Quality Control, Reliability, Safety and Risk, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Industrial and Production Engineering, Business and Management, general, Industrial Chemistry/Chemical Engineering