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The bootstrap method is a computer-based method for assigning measures of accuracy to sample estimates (Efron and Tibshirani 1994). This technique allows estimation of the sample distribution of almost any statistic using only very simple methods (Varian 2005).
Bootstrap methods are generally superior to ANOVA for small data sets or where sample distributions are non-normal.
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H. "Bootstrap Tutorial." Mathematica J. 9, 768-775, 2005.Weisstein, Eric W. "Bootstrap Methods." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/BootstrapMethods.html