Statistical Design of Experiments with Engineering Applications: 182 (Statistics: Textbooks and Monographs)

Rekab, Kamel

ISBN 10: 1574446258 / ISBN 13: 9781574446258

Published by CRC Press, 2005

About this Item

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.

Seller Inventory # V9781574446258

Bibliographic Details

• Title: Statistical Design of Experiments with Engineering Applications: 182 (Statistics: Textbooks and Monographs)
• Publisher: CRC Press
• Publication Date: 2005
• Language: English
• ISBN 10: 1574446258
• ISBN 13: 9781574446258
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.

About the Author

Rekab, Kamel; Shaikh, Muzaffar