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Table of contents

  1. Front Matter
    Pages i-xliv
  2. Fundamental Statistics and Its Applications

    1. Front Matter
      Pages 1-169
    2. Hoang Pham
      Pages 3-48
    3. Paul Kvam, Jye-Chyi Lu
      Pages 49-61
    4. Chin-Diew Lai, D.N. Murthy, Min Xie
      Pages 63-78
    5. D.N. Murthy, Jaiwook Baik, Richard Wilson, Michael Bulmer
      Pages 97-111
    6. Karl Sigman
      Pages 137-152
  3. Process Monitoring and Improvement

    1. Front Matter
      Pages 171-344
    2. Wei Jiang, Terrence Murphy, Kwok-Leung Tsui
      Pages 173-192
    3. Kailash Kapur, Qianmei Feng
      Pages 193-212
    4. Susan Albin, Di Xu
      Pages 213-227
    5. Kai-Tai Fang, Ling-Yau Chan
      Pages 229-247
    6. Raj Govindaraju
      Pages 263-279
    7. Philippe Castagliola, Giovanni Celano, Sergio Fichera
      Pages 291-325

About this book

Introduction

Engineers and practitioners contribute to society through their ability to apply basic scientific principles to real problems in an effective and efficient manner. They must collect data to test their products every day as part of the design and testing process and also after the product or process has been rolled out to monitor its effectiveness. Model building and validation, data collection, data analysis and data interpretation form the core of sound engineering practice.

After the data has been gathered the engineers, statisticians, designers, and practitioners must be able to sift them and interpret them correctly so that meaning can be exposed from a mass of undifferentiated numbers or facts. To do this he must be familiar with the fundamental concepts of correlation, uncertainty, variability and risk in the face of uncertainty.

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 organizations 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 and technological information processes.

The Springer Handbook of Engineering Statistics gathers together the full range of statistical techniques required by readers 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.

Key Topics

  • Fundamental Statistics
  • Process Monitoring and Improvement
  • Reliability Modeling and Survival Analysis
  • Regression Methods
  • Data Mining
  • Statistical Methods and Modeling
  • Wide Range of Applications including Six Sigma

 

Features

  • Contributions from leading experts in statistics and their application to engineering from industrial control to academic medicine and financial risk management
  • Wide-ranging selection of statistical techniques to enable the readers to choose the method most appropriate
  • Extensive and easy-to-use subject index making information quickly available to the reader.

The Springer Handbook of Engineering Statistics will be essential reading for all engineers, statisticians, researchers, teachers, students, and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.

Keywords

Applied statistics and sciene Biostatistics Engineering statistics Environmental statistics MRWCat2006 Quality control dgao 2007

Editors and affiliations

  • Hoang Pham
    • 1
  1. 1.Department of Industrial and Systems EngineeringRutgers the State University of New JerseyPiscatawayUSA

About the editors

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

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)