ESMA 6665 Statistical Computing

General Syllabus
List of Stories of the Data sets
Homeworks and Exams
R Some Commands in R
Review Material Basic Probability and Statistics
Linear Statistical Models A linear regression example
Regression Diagnostics
Multiple Regression Models and Model Selection
Prediction
Polynomial Regression Models
ANOVA
Interaction
Local Regression Models - Smoothing
Nonlinear Parametric Models
Generalized Linear Models
Generalized Additive Models
Robust Regression
Regression Trees
Some Useful Graphics
Survival Analysis Estimators of Survivor Curves
Cox Proportional Hazard Model
Discrimination Introduction
and Classification Theory
Practise
Analysis of Multivariate Data Principal Components
Tree-based Methods
Robust Statistics An Overview