qlat_utils.jk_err¶
- qlat_utils.jk_err(jk_arr, *, eps=1, block_size=1)[source]¶
Return
\[\frac{1}{eps} \sqrt{ N/(N-block_size) \sum_{i=1}^N (jk[i] - jk_avg)^2 }.\]when
block_size=1. Note:len(jk_arr) = N + 1. Sameepsas theepsused in thejackknifefunction. Does not properly honor the \((N-1)\) formula in error calculation if there were missing data in the originaldata_listin thejackknifefunction.