Table 2.
Distributions of waiting times between successive glitches: results of fits and AIC weights for each model.
| PSR name | wGauss | wPower law | wL-N | wExp |  |
 |
 |
 |
 |
 |
|---|---|---|---|---|---|---|---|---|---|---|
| yr | yr | yr−1 | ||||||||
| J0205+6449 | 0.001 | 0.40 | 0.16 | 0.43 | 1.3(4) | 1.4(4) | 1.7(1) | −0.2(3) | 1.0(1) | 0.9(5) |
| B0531+21 | 10−4 | 10−5 | 0.15 | 0.84 | 1.3(2) | 1.3(2) | 1.4(1) | −0.2(2) | 1.0(1) | 0.8(2) |
| J0537−6910 | 0.72 | 10−10 | 0.07 | 0.2 | 0.28(2) | 0.15(1) | 1.64(8) | −1.44(9) | 0.65(6) | 4.3(4) |
| J0631+1036 | 10−4 | 10−5 | 0.20 | 0.79 | 1.4(4) | 1.7(6) | 1.3(2) | −0.3(3) | 1.2(2) | 0.7(3) |
| B0833−45 | 0.993 | 10−10 | 10−4 | 0.006 | 2.5(2) | 1.2(1) | 1.3(3) | 0.7(2) | 0.9(2) | 0.41(9) |
| B1338−62 | 0.25 | 10−3 | 0.20 | 0.54 | 0.88(9) | 0.42(4) | 1.9(2) | −0.3(1) | 0.51(5) | 1.7(3) |
| B1737−30 | 10−5 | 10−6 | 0.17 | 0.82 | 0.9(1) | 0.9(1) | 1.44(7) | −0.6(1) | 1.0(1) | 1.2(2) |
| B1758−23 | 0.04 | 0.16 | 0.08 | 0.72 | 2.4(4) | 1.4(2) | 2.1(2) | 0.7(1) | 0.61(8) | 0.6(2) |
Notes. wm denotes the Akaike weights of the model m. 
and 
are the mean and the standard deviation of the Gaussian model, and 
is the power-law index. 
and 
are the mean and the standard deviation of the log-normal model, respectively. 
is the rate parameter of the exponential distribution. The values in parentheses correspond to the uncertainties in the last digit, and were calculated by using the bootstrap method. We marked in bold the values of wm for the best models.
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