Table 2. Results from Kolmogorov-Smirnov test.
D | C | p | D | C | p | ||
---|---|---|---|---|---|---|---|
S5/GM | 0.071 | 0.079 | 0.031 | C5/GM | 0.060 | 0.079 | 0.100 |
S5/LM3 | 0.061 | 0.079 | 0.089 | C5/LM3 | 0.077 | 0.079 | 0.015 |
S5/LM5 | 0.035 | 0.079 | 0.267 | C5/LM5 | 0.050 | 0.079 | 0.241 |
S5/LLM | 0.047 | 0.079 | 0.322 | C5/LLM | 0.053 | 0.079 | 0.197 |
D is the estimated maximum distance between the two distributions under analysis, C is the corresponding critical value, and p the resulting p-value. Considering a level of significance α = 0.01, we fail to reject the null hypothesis of equivalence of the two distributions in all cases.