1 Introduction to resampling methods: bootstrap and permutations
1.1 Examples of classical estimation problems
1.2 Applications with R
2. Jackcnife methods and permutation tests
2.1 Properties of jacknife estimators and permutation tests
3.2 Applications with R
3 Concepts related to empirical distribution
3.1 Estimation of standard errors through resampling.
3.2 Estimation of biases through resampling
4 Linear models and time series with resampling
4.1 Bootstrap regression models
4.2 Time series models with bootstrap
4.3 Applications with R
5 Confidence intervals based on resampling
5.1 Justification of alternatives in bootstrap confidence intervals
5.2 Applications with R
6 Hypothesis tests based on resampling
6.1 Bootstrap tests
6.2 Applications with R