
Modern Engineering Statistics
Thomas P. Ryan(Author)
Wiley (Publisher)
Published on 16. October 2007
Book
Hardback
736 pages
978-0-470-08187-7 (ISBN)
Description
An introductory perspective on statistical applications in the field of engineering
Modern Engineering Statistics presents state-of-the-art statistical methodology germane to engineering applications. With a nice blend of methodology and applications, this book provides and carefully explains the concepts necessary for students to fully grasp and appreciate contemporary statistical techniques in the context of engineering.
With almost thirty years of teaching experience, many of which were spent teaching engineering statistics courses, the author has successfully developed a book that displays modern statistical techniques and provides effective tools for student use. This book features:
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Examples demonstrating the use of statistical thinking and methodology for practicing engineers
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A large number of chapter exercises that provide the opportunity for readers to solve engineering-related problems, often using real data sets
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Clear illustrations of the relationship between hypothesis tests and confidence intervals
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Extensive use of Minitab(r) and JMP(r) to illustrate statistical analyses
The book is written in an engaging style that interconnects and builds on discussions, examples, and methods as readers progress from chapter to chapter. The assumptions on which the methodology is based are stated and tested in applications. Each chapter concludes with a summary highlighting the key points that are needed in order to advance in the text, as well as a list of references for further reading. Certain chapters that contain more than a few methods also provide end-of-chapter guidelines on the proper selection and use of those methods. Bridging the gap between statistics education and real-world applications, Modern Engineering Statistics is ideal for either a one- or two-semester course in engineering statistics.
Reviews / Votes
"In this book on modern engineering statistics, Ryan does an excellent job of providing the appropriate statistical concepts and tools using engineering resources.Highly recommended. Lower- and upper-division undergraduates" (CHOICE April 2008) "This self-contained volume motivates an appreciation of statistical techniques within the context of engineering; many datasets that are used in the chapters and exercises are from engineering sources. This book is ideal for either a one- or two-semester course in engineering statistics." (Computing Reviews April 2008)More details
Product info
gebunden
Edition
1. Auflage
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
Product notice
sewn/stitched
Paper over boards
Illustrations
Drawings: 86 B&W, 0 Color; Tables: 0 B&W, 0 Color; Graphs: 0 B&W, 0 Color
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 37 mm
Weight
1324 gr
ISBN-13
978-0-470-08187-7 (9780470081877)
Schweitzer Classification
Other editions
Additional editions

Person
Thomas P. Ryan, PhD, served on the Editorial Review Board of the Journal of Quality Technology from 1990 to 2006, including three years as the book review editor. He is the author of four books published by Wiley and is an elected Fellow of the American Statistical Association, the American Society for Quality, and the Royal Statistical Society. He currently teaches advanced courses on design of experiments and engineering statistics at statistics.com and serves as a consultant to Cytel Software Corporation.
Content
Preface.
1. Methods of Collecting and Presenting Data.
2. Measures of Location and Dispersion.
3. Probability and Common Probability Distributions.
4. Point Estimation.
5. Confidence Intervals an Hypothesis Tests-One Sample.
6. Confidence Intervals and Hypothesis Tests-Two Samples.
7. Tolerance Intervals and Prediction Intervals.
8. Simple Linear Regression, Correlation, and Calibration.
9. Multiple Regression.
10. Mechanistic Models.
11. Control Charts and Quality Improvement.
12. Design and Analysis of Experiments.
13. Measurement System Appraisal.
14. Reliability Analysis and Life Testing.
15. Analysis of Categorical Data.
16. Distribution-Free Procedures.
17. Tying It All Together.
Answers to Selected Exercises.
Appendix. Statistical tables.
Author Index.
Subject Index.