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Statistical Design of Experiments with Engineering Applications - Kamel Rekab, Muzaffar Shaikh, Rekab Rekab
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Statistical Design of Experiments with Engineering Applications - gebrauchtes Buch

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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 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. Textbooks New, Books~~Business & Economics~~Quality Control, Statistical-Design-of-Experiments-with-Engineering-Applications~~Kamel-Rekab, 999999999, Statistical Design of Experiments with Engineering Applications, Kamel Rekab, Muzaffar Shaikh, Rekab Rekab, 1574446258, Taylor & Francis, , , , , Taylor & Francis

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PREFACE INTRODUCTION What Is Experimental Design? Applications of Experimental Design Old Philosophy of Quality New Philosophy of Quality Robust Design Experimentation Steps Goals and Outline of Design of Experiments Problems References DESIGNING AND CONDUCTING EXPERIMENTS Introduction One-Factor-At-a-Time Approach Two-Level Factorial Designs Problems References OPTIMIZATION OF THE LOCATION PARAMETER Introduction Guidelines for Location Optimization Replicated Experimental Runs An Alternative Approach to the Pareto Chart Problems References MINIMIZATION OF THE DISPERSION Introduction Dispersion Minimization for Replicated Study Dispersion Minimization for Unreplicated Study Problems References TAGUCHI'S APPROACH TO THE DESIGN OF EXPERIMENTS Introduction Loss Function Taguchi Designs Signal-to-Noise Ratio Applications of Taguchi's Approach to Robust Designs Comments on the Taguchi Method Problems References STATISTICAL OPTIMIZATION OF THE LOCATION PARAMETER Introduction Replicated Two-Level Full Factorial Design Unreplicated Two-Level Full Factorial Design Two-Level Fractional Factorial Design Problems References STATISTICAL MINIMIZATION OF THE DISPERSION PARAMETER Introduction Replicated Study Unreplicated Study Problems References VALIDITY OF THE PREDICTION EQUATION Introduction Graphic Analysis Adjusted Coefficient of Determination F Test for Lack of Fit Analysis Recommendation Problems References THREE-LEVEL FACTORIAL DESIGNS Introduction Three-Level Full Factorial Design Box-Behnken Designs Central Composite Designs Three-Level Taguchi Designs Problems References SECOND-ORDER ANALYSIS Introduction Second Order Model in Matrix Terms Estimation of the Second-Order Model Parameters Estimation of the First-Order Model Parameters Fitting a Second-Order Model Inferences About Regression Parameters Confidence Limits for Predicted Values Validity of the Prediction Equation Quadratic Optimization Problems References APPENDICES Appendix 1: Two-Level Fractional Factorial Designs Appendix 2: Plackett-Burman Designs Appendix 3: Taguchi Designs Appendix 4: Standardized Normal Distribution Appendix 5: Percentiles of t Distribution Appendix 6: Percentiles of the F Distribution Appendix 7: Some Useful Box-Behken Designs Appendix 8: Matrix Algebra Business Business eBook, CRC Press

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Statistical Design Of Experiments With Engineering Applications
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Statistical Design Of Experiments With Engineering Applications - neues Buch

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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 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. Books, Science and Geography~~Mathematics~~Probability & Statistics, Statistical Design Of Experiments With Engineering Applications~~Book~~9781574446258~~Kamel Rekab, Muzaffar Shaikh, , , , , , , , , ,

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Statistical Design of Experiments with Engineering Applications

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.

Detailangaben zum Buch - Statistical Design of Experiments with Engineering Applications


EAN (ISBN-13): 9781574446258
ISBN (ISBN-10): 1574446258
Gebundene Ausgabe
Erscheinungsjahr: 2005
Herausgeber: ST LUCIE PR
272 Seiten
Gewicht: 0,562 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 14.05.2007 11:25:52
Buch zuletzt gefunden am 06.11.2017 11:00:33
ISBN/EAN: 1574446258

ISBN - alternative Schreibweisen:
1-57444-625-8, 978-1-57444-625-8


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