Introduction to Statistical Modelling

Presentations

• 1 - Linear Regression (1/7): Introduction
• 1 - Linear Regression (2/7): Simple linear regression
• 1 - Linear Regression (3/7): Multiple linear regression
• 1 - Linear Regression (4/7): Predictivity and variability
• 1 - Linear Regression (5/7): Outliers
• 1 - Linear Regression (6/7): Categorical variables
• 1 - Linear Regression (7/7): Multicollinearity
• 2 - Principal Component Analysis (1/3): Introduction
• 2 - Principal Component Analysis (2/3): Theory and concepts
• 2 - Principal Component Analysis (3/3): Examples
• 3 - Logistic regression
• 4 - Nonlinear regression (1/5): Parameter estimation
• 4 - Nonlinear regression (2/5): Confidence intervals
• 4 - Nonlinear regression (3/5): Model selection
• 4 - Nonlinear regression (4/5): Sensitivity analysis
• 4 - Nonlinear regression (5/5): Case study: Streeter-Phelps model