Design and Analysis of Experiments

This chapter contains sections titled: Processes Must be in Statistical Control One-Factor Experiments One Treatment Factor and at Least One Blocking Factor More Than One Factor Factorial Designs Crossed and Nested Designs Fixed and Random Factors ANOM for Factorial Designs Fractional Factorials Split-Plot Designs Response Surface Designs Raw Form Analysis Versus Coded Form Analysis Supersaturated Designs Hard-to-Change Factors One-Factor-at-a-Time Designs Multiple Responses Taguchi Methods of Design Multi-Vari Chart Design of Experiments for Binary Data Evolutionary Operation (EVOP) Measurement Error Analysis of Covariance Summary of MINITAB and Design-Expert® Capabilities for Design of Experiments Training for Experimental Design Use Summary Appendix A Computing Formulas Appendix B Relationship Between Effect Estimates and Regression Coefficients References Exercises