Condition: Fine. *Price HAS BEEN REDUCED by 10% until Monday, June 8 (weekend SALE item)* 268 pp., hardcover, signed by both authors else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367393026 ISBN 13: 9780367393021
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Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 272.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. reprint edition. 252 pages. 9.00x6.00x0.75 inches. In Stock.
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9781574446258.
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Condition: New. Presenting an easy-to-learn approach for applying design of experiments techniques to problems, this book examines the product lifecycle and the tools and techniques necessary to measure quality at various stages. It provides practical rules of thumb, step-wise procedures that allow readers to grasp concepts and apply them appropriately. Series: Statistics: A Series of Textbooks and Monographs. Num Pages: 272 pages, 40 black & white illustrations, 125 black & white tables. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 229 x 152 x 22. Weight in Grams: 498. . 2005. 1st Edition. hardcover. . . . .
Language: English
Published by Taylor & Francis Group, 2005
ISBN 10: 1574446258 ISBN 13: 9781574446258
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 272.
Language: English
Published by Taylor and Francis Inc, US, 2005
ISBN 10: 1574446258 ISBN 13: 9781574446258
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts.The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 1st edition. 252 pages. 9.00x6.25x0.75 inches. In Stock.
Language: English
Published by Taylor & Francis Group, 2005
ISBN 10: 1574446258 ISBN 13: 9781574446258
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Gebunden. Condition: New. Rekab, Kamel Shaikh, MuzaffarIn today s high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly c.
Condition: New. Presenting an easy-to-learn approach for applying design of experiments techniques to problems, this book examines the product lifecycle and the tools and techniques necessary to measure quality at various stages. It provides practical rules of thumb, step-wise procedures that allow readers to grasp concepts and apply them appropriately. Series: Statistics: A Series of Textbooks and Monographs. Num Pages: 272 pages, 40 black & white illustrations, 125 black & white tables. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 229 x 152 x 22. Weight in Grams: 498. . 2005. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.
Language: English
Published by Taylor & Francis Inc, 2005
ISBN 10: 1574446258 ISBN 13: 9781574446258
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 245.17
Quantity: 1 available
Add to basketHardback. Condition: New. New copy - Usually dispatched within 3 working days.
Language: English
Published by Taylor & Francis Inc Apr 2005, 2005
ISBN 10: 1574446258 ISBN 13: 9781574446258
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Neuware - Quality is an increasingly important component of competitive advantage for the modern corporation. Measuring quality and performance is a key step in achieving better quality. Although many statistical methods are available for determining quality, there remains no guide to easy learning and implementation. This book fills that gap, providing stepwise procedures and rules of thumb in an applied presentation and accompanying each concept with an example to illustrate the method. The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage, explaining such topics as optimization, Taguchi's method, variability reduction, and graphical applications based on statistical techniques.
Buch. Condition: Neu. Statistical Design of Experiments with Engineering Applications | Kamel Rekab (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2005 | CRC Press | EAN 9781574446258 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by Taylor and Francis Inc, US, 2005
ISBN 10: 1574446258 ISBN 13: 9781574446258
Seller: Rarewaves.com UK, London, United Kingdom
US$ 215.93
Quantity: 1 available
Add to basketHardback. Condition: New. In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts.The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.
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