Quality By Experimental Design, 3rd Edition

✍ Scribed by Barker, Thomas B

• Publisher: CRC Press
• Year: 2005
• Tongue: English
• Leaves: 702
• Edition: 3rd ed
• Category: Library

✦ Synopsis

THE PHILOSOPHY OF EXPERIMENTATIONWhy Design Experiments?Organizing the ExperimentThe Neglected Response VariableSTATISTICAL EXPERIMENTAL DESIGNThe Factorial 2-Level Design General Factorial DesignsFractional Factorials at 2-LevelsMulti-Level Designs3-Level DesignsRandomized Block and Latin SquareNested DesignsEvolutionary OperationSORTING THE SIGNAL FROM THE NOISESimple AnalysisAnalysis of Means by Using the VarianceYATES Analysis Analysis of 2k and 2k-p DesignsMatrix AlgebraLeast Squares AnalysisPutting ANOVA and Least Squares to WorkANOVA for Blocked and Nested DesignsTHE DERIVATION OF EMPIR. Read more...

Abstract: THE PHILOSOPHY OF EXPERIMENTATIONWhy Design Experiments?Organizing the ExperimentThe Neglected Response VariableSTATISTICAL EXPERIMENTAL DESIGNThe Factorial 2-Level Design General Factorial DesignsFractional Factorials at 2-LevelsMulti-Level Designs3-Level DesignsRandomized Block and Latin SquareNested DesignsEvolutionary OperationSORTING THE SIGNAL FROM THE NOISESimple AnalysisAnalysis of Means by Using the VarianceYATES Analysis Analysis of 2k and 2k-p DesignsMatrix AlgebraLeast Squares AnalysisPutting ANOVA and Least Squares to WorkANOVA for Blocked and Nested DesignsTHE DERIVATION OF EMPIR

✦ Table of Contents

Content: Cover
Series
Dedication
Foreword
Preface to the Third Edition
Preface to the Second Edition
Preface to the First Edition
How to Use This Book
Contents
Part I: The Philosophy of Experimentation
Chapter 1: Why Design Experiments?
Chapter 2: Organizing the Experiment
Chapter 3:The Neglected Response Variable
Part II: Statistical Experimental Design
Chapter 4: The Factorial 2-Level Design General Factorial Designs
Chapter 5: Fractional Factorials at 2-Levels
Chapter 6: Multi-Level Designs
Chapter 7: 3-Level Designs
Chapter 8: Blocking in Factorial Designs Chapter 9: Randomized Block and Latin SquareChapter 10: Nested Designs
Chapter 11: Evolutionary Operation
Part III: Sorting the Signal from the Noise
Chapter 12: Simple Analysis
Chapter 13: Analysis of Means by Using the Variance
Chapter 14: YATES Analysis Analysis of 2k and 2k-p Designs
Chapter 15: Matrix Algebra
Chapter 16: Least Squares Analysis
Chapter 17: Putting ANOVA and Least Squares to Work
Chapter 18: ANOVA for Blocked and Nested Designs
Part IV: The Derivation of Empirical Equations from Statistically Designed Experiments Chapter 19: A Case History of an Experimental InvestigationPart V: Utilization of Empirical Equations
Chapter 20: Robust Design
Chapter 21: Monte Carlo Simulation and Tolerance Design
Chapter 22: Case History Completed: The Utilization of the Equation
Statistical Tables
Back Cover