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  • Book
  • © 2006

Springer Handbook of Engineering Statistics

Editors:

  • Contributions from leading experts in statistics and their application to engineering from industrial control to academic medicine and financial risk management deliver all-round authoritative coverage
  • Guided by a distinguished international Editorial Board ensuring clarity and precision throughout
  • Offers wide-ranging selection of statistical techniques showing the proper way to use each to enable the reader to choose the method most appropriate for his or her purposes
  • Extensive and easy-to-use subject index making information quickly available to the reader
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Handbooks (SHB)

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Table of contents (54 chapters)

  1. Front Matter

    Pages i-xliv
  2. Fundamental Statistics and Its Applications

    1. Front Matter

      Pages 1-169
    2. Basic Statistical Concepts

      • Hoang Pham
      Pages 3-48
    3. Statistical Reliability with Applications

      • Paul Kvam, Jye-Chyi Lu
      Pages 49-61
    4. Weibull Distributions and Their Applications

      • Chin-Diew Lai, D.N. Murthy, Min Xie
      Pages 63-78
    5. Two-Dimensional Failure Modeling

      • D.N. Murthy, Jaiwook Baik, Richard Wilson, Michael Bulmer
      Pages 97-111
    6. Stationary Marked Point Processes

      • Karl Sigman
      Pages 137-152
  3. Process Monitoring and Improvement

    1. Front Matter

      Pages 171-344
    2. Statistical Methods for Quality and Productivity Improvement

      • Wei Jiang, Terrence Murphy, Kwok-Leung Tsui
      Pages 173-192
    3. Statistical Methods for Product and Process Improvement

      • Kailash Kapur, Qianmei Feng
      Pages 193-212
    4. Robust Optimization in Quality Engineering

      • Susan Albin, Di Xu
      Pages 213-227
    5. Uniform Design and Its Industrial Applications

      • Kai-Tai Fang, Ling-Yau Chan
      Pages 229-247
    6. Chain Sampling

      • Raj Govindaraju
      Pages 263-279
    7. Monitoring Process Variability Using EWMA

      • Philippe Castagliola, Giovanni Celano, Sergio Fichera
      Pages 291-325

About this book

In today’s global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. Many organisations have shown that the first step to continuous improvement is to integrate the widespread use of statistics and basic data analysis into the manufacturing development process as well as into the day-to-day business decisions taken in regard to engineering processes.

The "Springer Handbook of Engineering Statistics" gathers together the full range of statistical techniques required by engineers from all fields to gain sensible statistical feedback on how their processes or products are functioning and to give them realistic predictions of how these could be improved.

Reviews

From the reviews:

"The book provides a concise compilation of approved keys and up to date information on statistical methods for engineering sciences. A detailed list of references for every topic is appreciable." (Daniela Jarušková, Zentrablatt MATH, Vol. 1096 (22), 2006)

"The Springer Handbook of Engineering Statistics is a recent entry in the Springer Press’ line of technical reference books. … The text is aimed at practicing engineers and researchers as a compilation of the core fundamentals of engineering statistics, along with current and cutting-edge research and theory. … This text will be a welcome addition to the reference library of experienced users of traditional engineering statistics … . Current research is well summarised, clearly presented, and strikingly illustrated." (Dave Jones, International Journal of Acoustics and Vibration, Vol. 12 (2), 2007)

"This book enlisted 100 authors in various field of expertise, the reader can expect wide variations in the style of writing and depth of coverage. … a book for those for those interested in learning what one can do with statistics to develop data, models, or methods to discover information for improving processes, making engineering decisions, or just to understand processes. For those applying statistics for process improvement, this book would serve as a good source to go beyond the traditional Six Sigma tool kits." (Shin Ta Liu, Technometrics, Vol. 49 (4), 2007)

"[T]he Springer Handbook on Engineering Statistics is going to be useful to engineers at large, particularly to engineers engaged in manufacturing, design, testing and operations." (Krisnha B. Misra, International Journal of Performability Engineering, Vol. 3, (3), 2007)

Editors and Affiliations

  • Department of Industrial and Systems Engineering, Rutgers the State University of New Jersey, Piscataway, USA

    Hoang Pham

About the editor

Dr. Hoang Pham Pham is Professor and Director of the Undergraduate Program in the Department of Industrial and Systems Engineering at Rutgers University, Piscataway, NJ. Before joining Rutgers, he was a senior engineering specialist at the Boeing Company, Seattle, and the Idaho National Engineering Laboratory, Idaho Falls. His research interests include software reliability, system reliability modeling, maintenance, and environmental risk assessment.

He is the author of Software Reliability (Springer-Verlag, 2000) and a forthcoming book System Software Reliability (Springer, 2005). He is the editor of the Handbook of Reliability Engineering (Springer-Verlag, 2003) and Springer Handbook of Engineering Statistics (Springer, 2005). He is also the editor of Springer Series in Reliability. He has published more than 80 journal articles, 20 book chapters, and the editor of ten volumes.

He is editor-in-chief of the International Journal of Reliability, Quality and Safety Engineering (www.worldscinet.com/ijrqse), associate editor of the IEEE Trans. on Systems, Man and Cybernetics (Part A), and guest editor of IIE Transactions and IEEE Trans. on Systems, Man and Cybernetics (Part A). He has been conference chair and program chair of over 20 international conferences and workshops and is currently the Conference Chair of the Eleventh International Conference on Reliability and Quality in Design will be held in St. Louis , August 2005.

He received the B.S. degree in mathematics, B.S. degree in computer science, both 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 .

Bibliographic Information

Buy it now

Buying options

eBook USD 309.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access