Lecture

Modern Regression: Spring Barley Data

In course

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Description

This lecture covers topics such as iterative weighted least squares, model checking, generalized linear models, Poisson regression, and mixed models. It delves into the analysis of spring barley data using Bayesian methods, discussing estimation of variety effects and fertility patterns.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ux5dx7y7

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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