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Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.9. Seller Inventory # G0470745568I4N10
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 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.
About the Author:
S.J. Morrison, retired, Department of Operational Research, University of Hull
Mr. Samuel Jim Morrision has been retired for 20 years now, his last post being as Head of the Department of Operational Research at the University of Hull. He contributed a great deal to the pioneering of statistics in industry and operational research, and set up the first postgraduate management course at Hull. He is a Fellow of the Institution of Mechanical Engineers, the Royal Statistical Institute and the Chartered Mangagement Institute. He is also a senior member of the American Society for Quality.
Jim has been a speaker at conferences and meetings (including the IMS meeting of 1999 'Statistics in the Education of Engineers') where he has encouraged the use of simple statistics within the engineering industry. He has written many articals and papers on statistical engineering as the key to quality, writing often for the IET.
Title: Statistics for Engineers: An Introduction
Publisher: Wiley
Publication Date: 2009
Binding: Hardcover
Condition: Very Good
Dust Jacket Condition: No Jacket
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Condition: Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Seller Inventory # 39651804-6
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Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Seller Inventory # Z1-V-022-01910
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Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 442. Seller Inventory # B9780470745564
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9780470745564
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Seller: moluna, Greven, Germany
Gebunden. Condition: New. 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 . Seller Inventory # 556558028
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Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780470745564
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780470745564
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. xii + 177 Illus. Seller Inventory # 8148091
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 1st edition. 192 pages. 9.00x6.25x0.75 inches. In Stock. This item is printed on demand. Seller Inventory # __0470745568
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