Results of power analysis for artifact-count (discrete) data.

<p>The analysis shows that given the sample sizes and MLE model-parameter values (a) the probability of failing to identify power-law structure when power-law structure is present (type II error) is highly unlikely and (b) the probability of spuriously identifying power-law structure given Poisson or geometric data (type I error) is also highly unlikely. See also <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140127#pone.0140127.s004" target="_blank">S1 Table</a>.