1 Introduction to resampling methods: bootstrap and permutations
1.1 Examples of classical problems of estimation
1.2 Introduction to resampling methods
2 Aplications of bootstrap methods and permutations methods in data structures
2.1 Theoretical issues of bootstrap methods
2.2 Introduction to program bootstrap methods in R
3 Bootstrap based confidence intervals
3.1 Justification of alternatives of bootstrap confidence intervals
3.2 Application of bootstrap confidence intervals with R
4 Bootstrap based tests of hypotheses
4.1 Bootstrap hypothesis tests
4.2 Permutation hypothesis tests
5. Jackcnife methods
5.1 Properties of jacknife estimators
5.2 Application of jacknife methods with R
6 Resampling methods in linear models and time series analysis.
6.1 Regression models with bootstrap
6.2 Time series analysis with bootstrap