Lecture

Hypothesis Testing: Statistics Overview

Description

This lecture covers hypothesis testing, focusing on test statistics, critical regions, one-sided and two-sided tests, p-values, Wald test, power functions, and multiple testing methods like Bonferroni and False Discovery Rate control. It also delves into non-parametric statistics, empirical distribution functions, Glivenko-Cantelli theorem, and confidence intervals for distribution functions.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_7r2kh465

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Computer engineering

Software development: Software development process

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