 A convolution method of regularization reduces the discreteness of the bootstrap distribution by adding a small amount of "N"(0, "σ"2) random noise to each bootstrap sample.A conventional choice is formula_106 for sample size "n".Histograms of the bootstrap distribution and the smooth bootstrap distribution appear below.