Fig. 2
From: Novel accuracy test for multispectral imaging systems based on ΔE measurements
Representation of the four data sets (containing 345 Δ E values in each case) as histograms together with corresponding log-logistic distributions resulting from a maximum likelihood estimation of their parameters: a scenario 1 with \(\hat \alpha =0.3483\) and \(\hat \beta =2.5797\); b scenario 2 with \(\hat \alpha =0.4660\) and \(\hat \beta =3.5907\); c scenario 3 with \(\hat \alpha =0.6546\) and \(\hat \beta =4.3827\); d scenario 4 with \(\hat \alpha =0.8712\) and \(\hat \beta =4.7626\)