Applied Statistics and Probability for Engineers [With Free Access to Online Student Resources] / Edition 4

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Overview

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.

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Editorial Reviews

From the Publisher
‘Readers will find the content of the book to be useful in engineering problem solving and decision making.’ (Zentralblatt MATH,1102,May 2007)
Booknews
An introductory textbook for a first course in applied statistics and probability for undergraduate students in engineering and the physical or chemical sciences. All of the examples and exercises are engineering-based and in almost all cases they use real data. Throughout, output from Statgraphics and SAS is presented to exemplify what can be done with modern statistical software. Assumes one or two semesters of calculus. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780471745891
  • Publisher: Wiley
  • Publication date: 4/14/2006
  • Edition description: REV
  • Edition number: 4
  • Pages: 784
  • Product dimensions: 8.37 (w) x 10.20 (h) x 1.33 (d)

Table of Contents

Chapter 1. The Role of Statistics in Engineering.

Chapter 2. Probability.

Chapter 3. Discrete Random Variables and Probability Distributions.

Chapter 4. Continuous Random Variables and Probability Distributions.

Chapter 5. Joint Probability Distributions.

Chapter 6. Random Sampling and Data Description.

Chapter 7. Point Estimation of Parameters.

Chapter 8. Statistical Intervals for a Single Sample.

Chapter 9. Tests of Hypotheses for a Single Sample.

Chapter 10. Statistical Inference for Two Samples.

Chapter 11. Simple Linear Regression and Correlation.

Chapter 12. Multiple Linear Regression.

Chapter 13. Design and Analysis of Single-Factor Experiments: The Analysis of Variance.

Chapter 14. Design of Experiments with Several Factors.

Chapter 15. Nonparametric Statistics.

Chapter 16. Statistical Quality Control.

Appendix A. Statistical Tables and Charts.

Appendix B: Answers to Selected Exercises.

Appendix C: Bibliography Available at www.wiley.com/college/montgomery.

Glossary.

Index.

Applications in Examples and Exercises Continued.

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