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Statistical design of experiments with engineering applications

Author: Kamel Rekab; Muzaffar Shaikh
Publisher: Boca Raton : Taylor & Francis, 2005.
Series: Statistics, textbooks and monographs, v. 182.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
"Giving you a ready-made, quick, and easy-to-learn approach for applying design of experiments techniques to problems, Statistical Design of Experiments with Engineering Applications uses quality as the main theme to explain various design of experiments concepts. The authors examine the entire product life cycle and the tools and techniques necessary to measure quality to each stage. They explain topics such as  Read more...
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Document Type: Book
All Authors / Contributors: Kamel Rekab; Muzaffar Shaikh
ISBN: 1574446258 9781574446258
OCLC Number: 57475835
Description: 252 pages : illustrations ; 24 cm.
Contents: Introduction --
Designing and Conducting the Experiment --
Optimization of the Location Parameter --
Minimization of Dispersion --
Taguchi's Approach to the Design of Experiments --
Statistical Optimization of the Location Parameter --
Statistical Minimization of the Dispersion Parameter --
Validity of the Prediction Equation --
Three-Level Factorial Designs --
Second-Order Analysis.
Series Title: Statistics, textbooks and monographs, v. 182.
Responsibility: Kamel Rekab, Muzaffar Shaikh.
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Abstract:

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  Read more...

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"provides easy to understand and fast-learning approaches to applying experimental design methods to solving variety of problems that occur in practice. Statistical design principles and complicated Read more...

 
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   schema:reviewBody ""Giving you a ready-made, quick, and easy-to-learn approach for applying design of experiments techniques to problems, Statistical Design of Experiments with Engineering Applications uses quality as the main theme to explain various design of experiments concepts. The authors examine the entire product life cycle and the tools and techniques necessary to measure quality to 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 important 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 theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas."--BOOK JACKET." ;
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