„Overall this is an excellent book, which defines a broader mandatethan many of its competing texts. By providing, clear, understandable discussion of the basics of statistics through tomore advanced methods commonly used by engineers, this book is anessential reference for practitioners, and an ideal text for a twosemester course introducing engineers to the power and utility ofstatistics.“ (The American Statistician, August2008)
„In this book on modern engineering statistics, Ryan does anexcellent job of providing the appropriate statistical concepts andtools using engineering resources.... Highly recommended. Lower-and upper-division undergraduates“ (CHOICE, April 2008)
„This self-contained volume motivates an appreciation ofstatistical techniques within the context of engineering; manydatasets that are used in the chapters and exercises are fromengineering sources. This book is ideal for either a one- ortwo-semester course in engineering statistics.“ (ComputingReviews, April 2008)
Modern Engineering Statistics
von Thomas P. RyanAn introductory perspective on statistical applications in thefield of engineering
Modern Engineering Statistics presents state-of-the-artstatistical methodology germane to engineering applications. With anice blend of methodology and applications, this book provides andcarefully explains the concepts necessary for students to fullygrasp and appreciate contemporary statistical techniques in thecontext of engineering.
With almost thirty years of teaching experience, many of whichwere spent teaching engineering statistics courses, the author hassuccessfully developed a book that displays modern statisticaltechniques and provides effective tools for student use. This bookfeatures:
* Examples demonstrating the use of statistical thinking andmethodology for practicing engineers
* A large number of chapter exercises that provide the opportunityfor readers to solve engineering-related problems, often using realdata sets
* Clear illustrations of the relationship between hypothesis testsand confidence intervals
* Extensive use of Minitab and JMP to illustrate statisticalanalyses
The book is written in an engaging style that interconnects andbuilds on discussions, examples, and methods as readers progressfrom chapter to chapter. The assumptions on which the methodologyis based are stated and tested in applications. Each chapterconcludes with a summary highlighting the key points that areneeded in order to advance in the text, as well as a list ofreferences for further reading. Certain chapters that contain morethan a few methods also provide end-of-chapter guidelines on theproper selection and use of those methods. Bridging the gap betweenstatistics education and real-world applications, ModernEngineering Statistics is ideal for either a one- or two-semestercourse in engineering statistics.
Modern Engineering Statistics presents state-of-the-artstatistical methodology germane to engineering applications. With anice blend of methodology and applications, this book provides andcarefully explains the concepts necessary for students to fullygrasp and appreciate contemporary statistical techniques in thecontext of engineering.
With almost thirty years of teaching experience, many of whichwere spent teaching engineering statistics courses, the author hassuccessfully developed a book that displays modern statisticaltechniques and provides effective tools for student use. This bookfeatures:
* Examples demonstrating the use of statistical thinking andmethodology for practicing engineers
* A large number of chapter exercises that provide the opportunityfor readers to solve engineering-related problems, often using realdata sets
* Clear illustrations of the relationship between hypothesis testsand confidence intervals
* Extensive use of Minitab and JMP to illustrate statisticalanalyses
The book is written in an engaging style that interconnects andbuilds on discussions, examples, and methods as readers progressfrom chapter to chapter. The assumptions on which the methodologyis based are stated and tested in applications. Each chapterconcludes with a summary highlighting the key points that areneeded in order to advance in the text, as well as a list ofreferences for further reading. Certain chapters that contain morethan a few methods also provide end-of-chapter guidelines on theproper selection and use of those methods. Bridging the gap betweenstatistics education and real-world applications, ModernEngineering Statistics is ideal for either a one- or two-semestercourse in engineering statistics.
