Research Article
Modeling the Influence of Disturbances in High-Speed Railway Systems
Table 5
Goodness-of-fit testing of NAT and TDT using K-S method.
| Cluster | Log-normal | Weibull | Gamma | Exponential | Logistic | | D | Pass? | D | Pass? | D | Pass? | D | Pass? | D | Pass? |
| NAT | | | | | | | | | | | | A | | Yes | 0.055 | No | 0.037 | No | 0.104 | No | 0.159 | No | 0.030 | B | 0.077 | No | 0.046 | Yes | | Yes | 0.117 | No | 0.121 | No | 0.063 | C | 0.088 | No | 0.045 | Yes | | Yes | 0.139 | No | 0.104 | No | 0.097 | D | | Yes | 0.066 | Yes | 0.043 | Yes | 0.165 | No | 0.135 | No | 0.079 |
| TDT | | | | | | | | | | | | A | | Yes | 0.082 | No | 0.058 | No | 0.116 | No | 0.187 | No | 0.030 | B | 0.057 | Yes | 0.038 | Yes | | Yes | 0.146 | No | 0.105 | No | 0.063 | C | 0.059 | Yes | 0.060 | Yes | | Yes | 0.208 | No | 0.083 | Yes | 0.097 | D | | Yes | 0.064 | Yes | 0.041 | Yes | 0.156 | No | 0.151 | No | 0.079 |
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Superscript “ ” indicates the best models. |