: Computing the statistic of interest (e.g., mean, median, regression coefficient) for each bootstrap sample.
: Using this distribution to estimate standard errors and construct confidence intervals . 3. Variations of the Bootstrap Bootstrap methods and their application
Different data structures require specialized bootstrap schemes: The Statistical Bootstrap and Other Resampling Methods : Computing the statistic of interest (e
: Drawing random samples of the same size as the original dataset with replacement. Bootstrap methods and their application