n> bootstrap samples, there are 100 estimates of <span class="math inline">\(\alpha\)</span>, 100 of <span class="math inline">\(\beta\)</span>, and 100 of <span class="math inline">\(\sigma\)</span>. These are then treated like Monte Carlo draws. For example, the sample standard deviation of the draws for <span class="math inline">\(\alpha\)</span> provide the bootstrap estimate of the standard error in the estimate for <span class="math inline">\(\alpha\)</span>. Here’s what it looks like for the above 