Description |
1 online resource (252 pages) : illustrations |
Series |
Statistics, textbooks and monographs |
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Statistics, textbooks and monographs.
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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 |
Summary |
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 |
Bibliography |
Includes bibliographical references and index |
Notes |
Online resource; title from PDF title page (CRCnetBASE, viewed on May 23, 2014) |
Subject |
Experimental design.
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Engineering -- Statistical methods.
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Research Design
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Engineering -- methods
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Statistics as Topic -- methods
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MATHEMATICS -- Applied.
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MATHEMATICS -- Probability & Statistics -- General.
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Engineering -- Statistical methods
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Experimental design
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Form |
Electronic book
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Author |
Shaikh, Muzaffar.
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ISBN |
9781420056310 |
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142005631X |
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