Engineering Statistics


Book Description

Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control. Developed with sponsorship from the National Science Foundation, this revision incorporates many insights from the authors teaching experience along with feedback from numerous adopters of previous editions.




Solutions Manual to accompany Modern Engineering Statistics


Book 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: 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.







Introductory Statistics for Engineering Experimentation


Book Description

A concise treatment for undergraduate and graduate students who need a guide to statistics that focuses specifically on engineering.




Introduction to Probability and Statistics for Engineers and Scientists


Book Description

Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.




Modern Engineering Statistics


Book 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: 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.




Agricultural, Biosystems, and Biological Engineering Education


Book Description

Agricultural engineering, developed as an engineering discipline underpinned by physics, applies scientific principles, knowledge, and technological innovations in the agricultural and food industries. During the last century, there was exponential growth in engineering developments, which has improved human wellbeing and radically changed how humans interact with each other and our planet. Among these, “Agricultural Mechanization” is ranked among the top 10 in a list of 20 Top Engineering Achievements of the last century that have had the greatest impact on the quality of life. While many success stories abound, the problems of low appeal among students, identity crises, and limited job opportunities in many climes continue to trouble the discipline’s future in many parts of the world. Yet agriculture and agricultural engineering remain fundamental to assuring food and nutrition security for a growing global population. Agricultural, Biosystems, and Biological Engineering Education provides the first comprehensive global review and synthesis of different agricultural, biosystems, and biological engineering education approaches, including a detailed exposition of current practices from different regions. Key Features: Describes novel approaches to curriculum design and reform Outlines current and emerging epistemology and pedagogies in ABBE education Provides a framework to grow agricultural engineering in Africa and other developing regions Highlights the role of ABBE education in the context of the SDGs Presented in 3 parts and containing 42 chapters, this book covers the historical evolution of agricultural engineering education and discusses the emergence of biological and biosystems engineering education. It will appeal to engineers and other professionals, education planners and administrators, and policy makers in agriculture and other biological industries.