Research Article
Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data
Table 4
Candidate distributions fitting results for bus failure characteristics.
| No. | Distribution | Number of rejections | | |
| 1 | Beta | 4 | 4 | 2 | Burr | 2 | 1 | 3 | Cauchy | 7 | 6 | 4 | Dagum | 2 | 0 | 5 | Erlang | 5 | 3 | 6 | Error | 0 | 0 | 7 | Fatigue Life | 3 | 4 | 8 | Gamma | 2 | 0 | 9 | Gen. Extreme Value | 0 | 0 | 10 | Gen. Gamma | 1 | 0 | 11 | Gen. Logistic | 0 | 0 | 12 | Gen. Pareto | 2 | 1 | 13 | Gumbel max | 6 | 2 | 14 | Gumbel min | 7 | 6 | 15 | Hypersecant | 2 | 2 | 16 | Inv. Gaussian | 4 | 3 | 17 | Johnson SB | 2 | 0 | 18 | Johnson SU | 6 | 8 | 19 | Kumaraswamy | 4 | 4 | 20 | Laplace | 7 | 6 | 21 | Logistic | 0 | 0 | 22 | Log-Logistic | 3 | 1 | 23 | Lognormal | 3 | 4 | 24 | Log-Pearson 3 | 5 | 6 | 25 | Nakagami | 1 | 0 | 26 | Normal | 0 | 0 | 27 | Pearson 5 | 5 | 6 | 28 | Pearson 6 | 2 | 1 | 29 | Pert | 4 | 2 | 30 | Phased Biexponential | 8 | 6 | 31 | Phased Bi-Weibull | 3 | 1 | 32 | Rayleigh | 4 | 5 | 33 | Rice | 2 | 1 | 34 | Triangular | 4 | 4 | 35 | Uniform | 4 | 2 | 36 | Weibull | 2 | 1 |
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Note. 5 distributions highlighted in grey shading are selected as the well-fitted candidate distribution of and . |