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Random Models, Nested 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 experiments with response distributions from nonnormal response distributions and experiments with covariates.
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Rating | Not enough ratings |
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Length | 4 weeks |
Effort | 3 weeks of study, 4-8 hours/week |
Starts | Jul 3 (43 weeks ago) |
Cost | $49 |
From | Arizona State University via Coursera |
Instructor | Douglas C. Montgomery |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Probability And Statistics |
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Rating | Not enough ratings |
---|---|
Length | 4 weeks |
Effort | 3 weeks of study, 4-8 hours/week |
Starts | Jul 3 (43 weeks ago) |
Cost | $49 |
From | Arizona State University via Coursera |
Instructor | Douglas C. Montgomery |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Probability And Statistics |
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