Springer Handbook of Engineering Statistics

- Part A Fundamental Statistics and Its Applications

- Part B Process Monitoring and Improvement

- Part C Reliability Models and Survival Analysis

- Part D Regression Methods and Data Mining

- Part E Statistical Methods and Modeling

- Part F Applications in Engineering Statistics

- About the Authors

- Subject Index

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 .

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 JaruAkovA, Zentrablatt MATH, Vol. 1096 (22), 2006)

"The Springer Handbook of Engineering Statistics is a recent entry in the Springer Pressa (TM) line of technical reference books. a ] 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. a ] This text will be a welcome addition to the reference library of experienced users of traditional engineering statistics a ] . 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 ] 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)