Average Reviews:
(More customer reviews)An exceptionally well written book with many useful examples, case studies, and end of chapter exercises. Balances the theoretical aspect of statistics with real world examples. One of the few books that specifically covers the application of statistics for a manufacturing / engineering environment.
A very useful resource for anyone involved in Six Sigma, quality, or engineering in a manufacturing setting.
Although not touted as a Minitab resource / reference book there are plenty of worked examples that use Minitab, which I found to be an added bonus.
Click Here to see more reviews about: Modern Engineering Statistics
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:
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.
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