General 
Syllabus 

List of Stories of the Data sets 

Homeworks and Exams 
R Program 
An Introduction to R 

R Programing Language and UserWritten Functions 

Extending R 

Some R Commands 
Numerical Methods 
Optimization and Integration 

EM algorithm 
Estimating Standard Error 
Simulation 
and Bias 
The Bootstrap 

Some Applications 
Visualization 
Modern Graphics 

ggplot2 
Bayesian Analysis 
An Example 
Linear Statistical Models 
A linear regression example 

Regression Diagnostics 

Box Cox transforms 

Multiple Regression Models and Model Selection 

Prediction 

Polynomial Regression Models 

ANOVA 

Interaction 

Local Regression Models  Smoothing 

Nonlinear Parametric Models 
Generalized Linear Models 
Generalized Linear Models 

Generalized Additive Models 
Robust Statistics 
Robust Regression 

Regression Trees 
Survival Analysis 
Estimators of Survivor Curves 

Cox Proportional Hazard Model 
Discrimination 
Introduction 
and Classification 
Theory 

Practise 
Analysis of Multivariate Data 
Principal Components 
Sequential Analysis 
An Example 
Density Estimation 
Theory 