Description
Book Synopsis
Offering a planned approach for determining cause and effect, DOE Simplified: Practical Tools for Effective Experimentation, Third Edition integrates the authorsâ 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.
Following in the footsteps of its bestselling predecessors, this edition incorporates a lively approach to learning the fundamentals of the design of experiments (DOE). It lightens up the inherently dry complexities with interesting sidebars and amusing anecdotes.
The book explains simple methods for collecting and displaying data and presents comparative experiments for testing hypotheses. Discussing how to block the sources of variation from your analysis, it look
Table of Contents
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.
