Lecture

Sampling Theory: Statistics for Mathematicians

In course

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Description

This lecture covers the theory of sampling, focusing on statistics for mathematicians. Topics include sampling distributions, exhaustive statistics, Fisher-Neyman criterion, and Student-Fisher theorem. The lecture also discusses the joint density of random variables, moments for normal distribution sampling, and the Student's t-distribution.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_sioxyv6w

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data collection: Statistical sampling

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