Data-based Choice of Histogram Bin Width

@inproceedings{Wand1996DatabasedCO,
  title={Data-based Choice of Histogram Bin Width},
  author={Matthew P. Wand},
  year={1996}
}
The most important parameter of a histogram is the bin width, since it controls the trade-oo between presenting a picture with too much detail (\un-dersmoothing") or too little detail (\oversmoothing") with respect to the true distribution. Despite this importance there has been surprisingly little research into estimation of the \optimal" bin width. Default bin widths in most common statistical packages are, at least for large samples, quite far from the optimal bin width. Rules proposed by… CONTINUE READING