Estimating R: Moments of a Distribution

In course

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Description

This lecture covers the concept of moments in a distribution, including the raw moments, centered moments, and factorial moments. It explains how moments like expectation and variance are crucial in measuring the location and spread of a distribution, analogous to the center of gravity and moment of inertia in mechanics. The lecture also presents theorems related to moments, such as calculating the variance of a Poisson random variable. Practical examples and calculations are provided to illustrate the concepts discussed.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_u6vpylaz

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Probability theory: Topics in probability theory

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