With the factor 2 replaced by approximately 2.59, the Freedman–Diaconis rule asymptotically matches
Scott's rule for data sampled from a normal distribution. Another approach is to use
Sturges's rule: use a bin width so that there are about 1+\log_2n non-empty bins, however this approach is not recommended when the number of data points is large. ==References==