All major aspects of engineering statistics are covered including descriptive statistics, probability and probability distributions, statistical tests and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control.
Revised and enhanced, the Third Edition presents a better integration of probability and statistics into the overall engineering problem-solving process, including discussion and illustration of retrospective studies, observational studies, and designed experiments.
The authors have made a selection and revision from Montgomery and Runger's more substantial to produce the present text, which is designed to serve a one-semester course for undergraduate engineering students who have had at least one semester of calculus. Meant for an applied course, the text is designed to be used in conjunction with model- building and the computer (by using Minitab, Statgraphics and Excel). All three authors teach at Arizona State University. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Douglas C. Montgomery, Regents’ Professor of Industrial Engineering and Statistics at ArizonaStateUniversity, received his B.S., M.S., and Ph.D. degrees in engineering from Virginia Polytechnic Institute, the editor of Quality and Reliability Engineering International and a former editor of the Journal of Quality Technology.
George C. Runger, Ph.D., is a Professor in the department of Industrial Engineering at ArizonaStateUniversity. His research is on data mining, real-time monitoring and control, and other data-analysis methods with a focus on large, complex, multivariate data streams. His work is funded by grants from the National Science Foundation and corporations. In addition to academic work, he was a senior engineer at IBM. He holds degrees in industrial engineering and statistics.
Norma Faris Hubele, Professor of Engineering and Statistics at ArizonaStateUniversity, and Director of Strategic Initiatives for the Ira A. Fulton School of Engineering, has taught and done research at the University level and with industry for over 20 years. Her cutting edge educational research has been supported by the National Science Foundation and is reflected in this textbook.