> So here’s my radical proposal: instead of mindlessly fitting a theoretical distribution onto your data, use the real data. We have computers now, and they are

> So here’s my radical proposal: instead of mindlessly fitting a theoretical distribution onto your data, use the real data. We have computers now, and they are really good at performing the same operation over and over – exploit that. Resample from the data you have! I'm just getting into this for the PhD work: "Adèr et al. recommend the bootstrap procedure for the following situations:[0] When the theoretical distribution of a statistic of interest is complicated or unknown. Since the bootstrapping procedure is distribution-independent it provides an indirect method to assess the properties of the distribution underlying the sample and the parameters of interest that are derived from this distribution." [0] https://en.wikipedia.org/wiki/Bootstrapping_(statistics) https://en.wikipedia.org/wiki/Bootstrapping_(statistics)