Let \\({f(x \\vert{} \\theta)}\\) be a parametric distribution and \\(X\\) a sample from \\(f\\).
In parametric bootstrapping, we use the available sample to estimate the parameter of the distribution, and then draw pseudosamples from the estimated distribution.
We can now draw pseudo-samples from \\({f(x \\vert{} \\theta)}\\).
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