Add to ORKGThe Bootstrap is the most widely used resampling statistical method. This method becomes very popular because of the big breakthroughs in computer science and computer industry which allow practicians (both on academic and professional sides) to (re)sample very large and very complex datasets. Bootstrap provides a very powerful solution to statistical inference when traditional statis-tic cannot applied. For instance, if we study a ratio of means or a ratio of standard deviations, there is no explicit formulas: that is where bootstrap is useful. From bootstrap, we can extract a lot of statistical quantities (such as standard error, bias, confidence interval, hypothesis test,...) on a particular problem because it computes the sampling distr...