Case Study Analysis

Examination

Review summary statistics
Assumption testing for statistical test
Normality
Multivariate normality
Homoscedasticity
etc
Correlation and Covariance
Non-parametric test – Chi Square
T-Tests
One sample T-test
Two sample T-test
Paired Two-sample T-Test
ANOVA
Linear Models
Simple Linear Regression
Multiple Regression
Discussion of Generalized Linear Models
Logistic Regression
Poisson Regression
Model Diagnostics
Residuals – ANOVA – Akaike Information Criteria (AIC)
Cross-Validation
Bootstrap
Nonlinear Models
Nonlinear Least Squares
Generalized Additive Models
Decision trees
Random Forests (Ensemble)

Statistical Modelling - 5123COMP

Statistical Modelling

Applying appropriate statistical theory data science problem to derive meaningful solutions.

Apply appropriate statistical theory and derive meaningful solutions in a suitable programming language