{"articles":{"balanced-bootstrap@computational-statistical-methods":{"content":"<p>Balanced bootstrap is a way to bootstrap without introducing any bias. We do this by making sure that</p><p>1) Concatenate B copies of the sample. This ensures that the frequency of all sample elements are preserved. 2) Randomly permute the concatenation. 3) Read off the B bootstrap samples.</p>","names":[[["Balanced bootstrap",""]],[["Permutation bootstrap",""]]]}},"style":"Method"}