Multi-factor ANOVA

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Related lectures (29)

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Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.

Data Science Visualization with Pandas

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Nested Model Selection

Explores nested model selection in linear models, comparing models through sums of squares and ANOVA, with practical examples.

General Linear Model: Model Selection

Explores the General Linear Model, significance testing, model selection, and parameter inference.

Linear Regression: Maximum Likelihood Approach

Covers linear regression topics including confidence intervals, variance, and maximum likelihood approach.

ANOVA & Moderation

Explores ANOVA, moderation, and statistical analysis methods in digital education, emphasizing their significance in educational research.

ANOVA and Factorial Experiments

Explores ANOVA, factorial experiments, and model evaluation techniques.

Fracture Mechanics: Crack Growth and Weakest Link

Explores fracture mechanics, crack growth, and the weakest link theory, emphasizing the statistical distribution of crack sizes and the significance of the largest crack in material failure.

Mixture models: alternative specific variance

Explores alternative specific variance in mixture models and discusses identification issues and model comparisons using 500 draws.

Propagation of Uncertainty: Estimation and Distribution

Discusses estimation and propagation of uncertainty in random variables and the importance of managing uncertainty in statistical analysis.