Applied Statistics and Probability for Engineers - Hardcover

Montgomery, Douglas C.; Runger, George C.

Hardcover

ISBN 10: 0471170275 ISBN 13: 9780471170273

Publisher: John Wiley & Sons, 1999

Synopsis

This text brings statistical tools to engineers and scientists who design and develop new products, new manufacturing systems and processes and who improve existing systems. The examples and exercises are engineering-based, containing real data. Because computers are used to apply statistical methods to solve problems, output is presented from Statgraphics and SAS to illustrate what can be done with modern statistical software. Readers are shown how to master discrete and continuous random variables and probability distributions; point and interval estimation; testing hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control.

About this title

From the Back Cover

Real Engineering Situations, Real Engineering Data

With Montgomery and Runger’s best–selling engineering statistics text, you can learn how to apply statistics to real engineering situations. The text shows you how to use statistical methods to design and develop new products, and new manufacturing systems and processes. You’ll gain a better understanding of how these methods are used in everyday work, and get a taste of practical engineering experience through real–world, engineering–based examples and exercises.

Now revised, this Fourth Edition of Applied Statistics and Probability for Engineers features many new homework exercises, including a greater variation of problems and more computer problems.

Key Features

• The text treats all topics in a way that reflects today′s engineering realities. In the probability chapters, the authors emphasize engineering–specific examples, rather than counting methods or artificial applications such as gambling.
• Examples and exercises throughout the text use real data and real engineering situations.
• Coverage of probability is lively and interesting.  It is complete but concise so as not to take over the content of the entire text.
• Thorough coverage of regression modeling, design of engineering experiments, and statistical process control from experts in these topics makes the book especially useful as a reference.

From the Inside Flap

Douglas C. Montgomery, Professor of Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering, from 1969 to 1984 he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988 he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering.

Dr. Montgomery has research and teaching interests in industrial statistics including statistical quality control techniques, design of experiments, regression analysis and empirical model building, and the application of operations research methodology to problems in manufacturing systems. He has authored and coauthored many technical papers in these fields and is an author of twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, a Fellow of the American Statistical Association, a Fellow of the Royal Statistical Society, a Fellow of the Institute of Industrial Engineers, and an Elected member of the International Statistical Institute. He is a Stewart Medallist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ. He is a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology, the current editor of Quality and Reliability Engineering International, and serves on the editorial boards of several journals.

Edition details

• Publisher: John Wiley & Sons
• Publication date: 1999
• Language: English
• ISBN 10: 0471170275
• ISBN 13: 9780471170273
• Binding: Hardcover
• Edition number: 2
• Number of pages: 944