ESMA 6665 Statistical Computing

General	Syllabus
	List of Stories of the Data sets
	Homeworks and Exams
R Program	An Introduction to R
	R Programing Language and User-Written 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