Table 4
Model selection.
| Sample | Model | |||
|
|
||||
| Pop | r | NBD | GQED | LN |
|
|
||||
| BICα−BICLNb | ||||
|
|
||||
| 1 | 8 | −118.4234 | 174.8916 | 854.8506 |
| 12 | −4.039641 | 224.7505 | 440.5025 | |
| 16 | −8.94503 | 89.67867 | 131.1977 | |
| 20 | −0.6724359 | 48.51936 | 60.20096 | |
| 24 | −4.626123 | 13.31321 | 18.69431 | |
| 2 | 8 | −17.74021 | −1.896006 | 340.7819 |
| 12 | −21.84225 | 3.992247 | 145.9392 | |
| 16 | −4.927798 | 44.1163 | 122.5448 | |
| 20 | 3.435232 | 7.287432 | 30.46023 | |
| 24 | −0.8650677 | −1.675998 | 2.853192 | |
|
|
||||
| AICα−AICLNb | ||||
|
|
||||
| 1 | 8 | −115.611 | 177.704 | 857.663 |
| 12 | −0.6736 | 228.1165 | 443.8685 | |
| 16 | −6.1657 | 92.458 | 133.977 | |
| 20 | 1.92298 | 51.11478 | 62.79638 | |
| 24 | −1.8897 | 16.04963 | 21.43073 | |
| 2 | 8 | −16.2412 | −0.397 | 342.2809 |
| 12 | −19.7639 | 6.0706 | 148.0176 | |
| 16 | −2.3736 | 46.6705 | 125.099 | |
| 20 | 6.3106 | 10.1628 | 33.3356 | |
| 24 | 1.58967 | 0.77874 | 5.30793 | |
Notes. Hypothesis contrast between the NBD, the GQED and the LND with the LN distribution with bias. Values shown correspond to the different between the criterion used for one of the three two-parameters models (α) and the LNb distribution. Negative values indicate that the two-parameter model performs a better fit that the LNb distribution, while positive numbers indicate the opposite.
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