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.
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We also provide an overview of designs for experiments with response distributions from nonnormal response distributions and experiments with covariates.
What You Will Learn
- Design and analyze experiments where some of the factors are random
- Design and analyze experiments where there are nested factors or hard-to-change factors
- Analyze experiments with covariates
- Design and analyze experiments with nonnormal response distributions
Course 4 of 4 in the Design of Experiments Specialization.
Syllabus
WEEK 1: Experiments with Random Factors
WEEK 2: Nested and Split-Plot Designs
WEEK 3: Other Design and Analysis Topics
