Recipes for the Design of Experiments

Short Description:
This book covers practical examples of the statistical design of experiments for systematically testing hypotheses (ideas) about how a system under test behaves. The examples will be based on the setting, design, analysis paradigm and include R code for the design and analysis. The aim is to provide examples that readers can use in their own work. Topics to be covered are:


 * 1) 	The scientific method, randomized controlled trials, one factor at a time experiments and reproducible research
 * 2) 	Tools for reproducible research and the R project for statistical computing
 * 3) 	A review of descriptive and inferential statistics
 * 4) 	Experiments with a Single Factor: One Way ANOVA
 * 5) 	Experiments with More Than One Factor
 * 6) 	Full Factorial Experiments at Two Levels
 * 7) 	Fractional Factorial Experiments at Two or Three Levels
 * 8) 	Regression Models
 * 9) 	Response Surface Methodology
 * 10) 	Taguchi Designs and Quality Control

Work will begin on August 29, 2016 with contributions from students in the Rensselaer classes ISYE 4330 and ISYE 6020: The Design of Experiments.


 * /Chapter 0: Preliminaries/: From Edison to Taguchi
 * /Chapter 1: One Factor, Two Level Experiments/
 * /Chapter 2: Two or More Factors/
 * /Chapter 3: Completely Randomized Designs/
 * /Chapter 4: Completely Randomized Block Designs from the literature/
 * /Chapter 5: Blocked Designs with multiple explanatory and nuisance factors/
 * /Chapter 6: The Analysis of Covariance/
 * /Chapter 7: Resampling Methods/
 * /Chapter 8: Fractional Factorial Designs/
 * /Chapter 9: Response Surface Methods/
 * /Chapter 10: Taguchi Designs/
 * /Appendix A: Biographies/