Lecture

Likelihood Estimation and Least Squares

In course

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Description

This lecture covers the concepts of simple normal linear regression, multiple normal linear regression, and maximum likelihood estimation. It explains the jargon, linearity in parameters, data structure, and the process of finding the least squares estimator. Examples include a professor's van fuel consumption and cement heat evolution.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_9oinri6l

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Mathematical statistics

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