The bootstrap method of statistical estimation is surveyed. The consistency and asymptotic minimaxity of bootstrap distribution estimates are established. The asymptotic normality of these estimates is also proved. A close connection between bootstrap and jackknife methods is given. As an example the bootstrap estimate of the distribution of the Kolmogorov-Smirnov statistic is studied in detail.