Table 4.

One-way ANOVA (F) and Kruskal-Wallis (H) statistics for $\tau =2$ and for $\tau =1$ and $3\le \tau \le 10$, respectively, to assess statistical differences between the three groups for $\alpha =0.01$ (**) and for $\alpha =0.05$ (*).

Scale factor ($\tau$)	Test statistics
1	$\mathrm{H}(2,100)=17.79$	$p=1.374E-04$ **
2	$\mathrm{F}(2,100)=13.55$	$p=6.211E-04$ **
3	$\mathrm{H}(2,100)=52.70$	$p=3.607E-12$ **
4	$\mathrm{H}(2,100)=51.22$	$p=7.552E-12$ **
5	$\mathrm{H}(2,100)=17.66$	$p=1.463E-04$ **
6	$\mathrm{H}(2,100)=46.10$	$p=9.762E-11$ **
7	$\mathrm{H}(2,100)=46.89$	$p=6.585E-11$ **
8	$\mathrm{H}(2,100)=42.77$	$p=5.168E-10$ **
9	$\mathrm{H}(2,100)=7.60$	$p=2.230E-02$ *
10	$\mathrm{H}(2,100)=9.83$	$p=7.300E-03$ **