This major reference work gathers together the full range of statistical techniques required by engineers from all fields. It will assist them 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. In today's global and highly competitive environment continuous improvement in the processes and products of any field of engineering is vital for survival. The handbook will be essential reading for all engineers and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness. The book offers wide-ranging selection of statistical techniques showing the proper way to use each, enabling the reader to choose the method most appropriate for their purposes. Information is quickly available to the reader through an extensive and easy-to-use subject index ensuring clarity and precision throughout.

Autorentext

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).

Klappentext

In today's global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist them 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. The handbook will be essential reading for all engineers and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.

Inhalt

Part I: Fundamental Statistics and its Applications.- Part II: Process Monitoring and Improvement.- Part III: Reliability Models and Survival Analysis.- Part IV: Advanced Statistical Methods and Modeling.- Part V: Statistical Computing and Data Mining.- Part VI: Applications in Engineering Statistics.