Lecture

Multilinear Regression: Basics and Applications

In course

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Description

This lecture covers the basics of multilinear regression, including the least square fit algorithm and its application in analyzing the Young modulus of steel based on temperature, carbon, and sulfur concentrations. It also discusses empirical models, measurement points, and the difference between mechanistic and empirical models.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_g2z01rwr

About this result

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Cross-validation

Mathematics

Analysis: Differential anaysis

Chemical engineering

Materials science: Deformation of materials

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