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MIT Sloan AI Adoption Certificate — From Proof-of-Concept to Practice
Overview
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Learn about advanced statistical techniques for handling multiple comparisons in hypothesis testing. Explore detailed proofs of two important correction methods: the Holm-Bonferroni method and the Simes method. Gain a deeper understanding of how these techniques control for family-wise error rates and improve the reliability of statistical inferences when conducting multiple tests simultaneously.
Syllabus
Proof of Holm Bonferroni Correction Method.
Proof of Simes Correction Method.
Taught by
statisticsmatt