Offering a planned approach for determining cause and effect, this updated edition of a bestseller integrates the authors' decades of combined experience in providing training, consulting, and computational tools to industrial experimenters. Supplying readers with the statistical means to analyze how numerous variables interact, it is ideal for those seeking breakthroughs in product quality and process efficiency via systematic experimentation. This edition incorporates a lively approach to learning the fundamentals of design of experiments (DOE). It lightens up the inherently dry complexities with interesting sidebars and amusing anecdotes.
Inhaltsverzeichnis
PrefaceIntroduction 1 Basic Statistics for DOE 2 Simple Comparative Experiments 3 Two-Level Factorial Design 4 Dealing with Nonnormality via Response Transformations 5 Fractional Factorial 6 Getting the Most from Minimal-Run Designs 7 General Multilevel Categoric Factorials 8 Response Surface Methods for Optimization. 9 Mixture Design 10 Back to the Basics: The Keys to Good DOE. 11 Split-Plot Designs to Accommodate Hard-to-Change Factors 12 Practice Experiments Appendix 1 Appendix 2 GlossaryStatistical Symbols Recommended ReadingsTextbooksCase Study ArticlesAbout the AuthorsAbout the Software.
