ANOVA and Factorial Experiments

In course

Description

This lecture covers the concepts of ANOVA, including the analysis of variance table, assumptions, and model evaluation. It also delves into factorial experiments, 2-way ANOVA, and the general linear model, emphasizing the importance of model evaluation techniques such as diagnostic plots.

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Official source

https://mediaspace.epfl.ch/media/0_ta27ymre

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Related concepts (90)

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In statistics, a Q–Q plot (quantile-quantile plot) is a probability plot, a graphical method for comparing two probability distributions by plotting their quantiles against each other. A point (x, y) on the plot corresponds to one of the quantiles of the second distribution (y-coordinate) plotted against the same quantile of the first distribution (x-coordinate). This defines a parametric curve where the parameter is the index of the quantile interval.

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In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing the linear model to be related to the response variable via a link function and by allowing the magnitude of the variance of each measurement to be a function of its predicted value. Generalized linear models were formulated by John Nelder and Robert Wedderburn as a way of unifying various other statistical models, including linear regression, logistic regression and Poisson regression.

Design of experiments

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Normal distribution

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