# Recipes for the Design of Experiments

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## Short Description:Edit

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:

- The scientific method, randomized controlled trials, one factor at a time experiments and reproducible research
- Tools for reproducible research and the R project for statistical computing
- A review of descriptive and inferential statistics
- Experiments with a Single Factor: One Way ANOVA
- Experiments with More Than One Factor
- Full Factorial Experiments at Two Levels
- Fractional Factorial Experiments at Two or Three Levels
- Regression Models
- Response Surface Methodology
- 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