Modern Engineering Statistics (eBook)
608 Seiten
John Wiley & Sons (Verlag)
978-0-470-12843-5 (ISBN)
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:
* Examples demonstrating the use of statistical thinking and
methodology for practicing engineers
* A large number of chapter exercises that provide the opportunity
for readers to solve engineering-related problems, often using real
data sets
* Clear illustrations of the relationship between hypothesis tests
and confidence intervals
* Extensive use of Minitab and JMP 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.
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.
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 and 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.
"Overall this is an excellent book, which defines a broader mandate
than many of its competing texts. By providing, clear,
understandable discussion of the basics of statistics through to
more advanced methods commonly used by engineers, this book is an
essential reference for practitioners, and an ideal text for a two
semester course introducing engineers to the power and utility of
statistics." (The American Statistician, August
2008)
"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)
| Erscheint lt. Verlag | 28.6.2008 |
|---|---|
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Technik | |
| Schlagworte | Angewandte Wahrscheinlichkeitsrechnung u. Statistik • Applied Probability & Statistics • Engineering statistics • Statistics • Statistik • Statistik in den Ingenieurwissenschaften • Technische Statistik |
| ISBN-10 | 0-470-12843-7 / 0470128437 |
| ISBN-13 | 978-0-470-12843-5 / 9780470128435 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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