Free PDF Statistics for Engineers: An Introduction, by Jim Morrison
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Statistics for Engineers: An Introduction, by Jim Morrison
Free PDF Statistics for Engineers: An Introduction, by Jim Morrison
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This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. � Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English.
In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting tight tolerances without regard to the statistical aspect of process data is demonstrated.
This book offers a solution, bridging the gap between statistical science and engineering technology to ensure that the engineers of today are better equipped to serve the manufacturing industry.
Inside, you will find coverage on:
- the nature of variability, describing the use of formulae to pin down sources of variation;
- engineering design, research and development, demonstrating the methods that help prevent costly mistakes in the early stages of a new product;
- production, discussing the use of control charts, and;
- management and training, including directing and controlling the quality function.
The Engineering section of the index identifies the role of engineering technology in the service of industrial quality management. The Statistics section identifies points in the text where statistical terminology is used in an explanatory context.
Engineers working on the design and manufacturing of new products find this book invaluable as it develops a statistical method by which they can anticipate and resolve quality problems before launching into production. This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products.
Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent.
- Sales Rank: #5260896 in Books
- Published on: 2009-07-20
- Original language: English
- Number of items: 1
- Dimensions: 9.22" h x .65" w x 6.22" l, .85 pounds
- Binding: Hardcover
- 192 pages
Review
"This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products. Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent."� (Zentralblatt MATH, 1 August 2013)
"This is a timely text that helps to support the development of these important skills. Its no-nonsense and useful approach gives a flavour of the main statistical tools and techniques in basic language." (Quality World, December 2009)"It deserves to become a standard text to encourage the best in industrial practice." (Engineering & Technology, November 2009)
From the Back Cover
This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English.
In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting tight tolerances without regard to the statistical aspect of process data is demonstrated.
This book offers a solution, bridging the gap between statistical science and engineering technology to ensure that the engineers of today are better equipped to serve the manufacturing industry.
Inside, you will find coverage on:
- the nature of variability, describing the use of formulae to pin down sources of variation;
- engineering design, research and development, demonstrating the methods that help prevent costly mistakes in the early stages of a new product;
- production, discussing the use of control charts, and;
- management and training, including directing and controlling the quality function.
The Engineering section of the index identifies the role of engineering technology in the service of industrial quality management. The Statistics section identifies points in the text where statistical terminology is used in an explanatory context.
Engineers working on the design and manufacturing of new products find this book invaluable as it develops a statistical method by which they can anticipate and resolve quality problems before launching into production. This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products.
Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent.
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