Random Models and Split-Plot Designs

Many experiments involve factors whose levels are chosen at random. A well-know situation is the study of measurement systems to determine their capability. This course presents the design and analysis of these types of experiments, including modern methods for estimating the components of variability in these systems. The course also covers experiments with nested factors, and experiments with hard-to-change factors that require split-plot designs. We also provide an overview of designs for ex

• Design and analyze experiments with random factors
• Design and analyze experiments with nested and hard-to-change factors
• Analyze experiments with covariates
• Design and analyze experiments with nonnormal response distributions

• Basic statistical principles
• Understanding of regression analysis
• Knowledge of probability distributions