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STAT 571B/MATH 571B -- Design of Experiments
Description: Principles of designing experiments. Randomization, block designs, factorial experiments, analysis of contrasts, multiple comparisons, analysis of variance and covariance, repeated measures, variance components analysis. Students will be expected to utilize standard statistical software packages for computational purposes.
Prerequisite(s): MATH 223, or equivalent; and STAT 571A/MATH 571A.
This course studies statistical Design of Experiments at an advanced graduate level. It is targeted to provide graduate students in statistics, biostatistics, mathematics, and related disciplines with an in-depth course of study in experiment design and analyses of variance (ANOVA); to explore advanced statistical topics, including ANOVA diagnostics, simultaneous inferences, analysis of covariance (ANCOVA), blocking, and factorial designs; to instruct students in statistical computing packages, such as SAS and R; and to cover other miscellaneous topics in experiment design.
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