Estimation of the attachment kernel when the true model is <i>A</i>_<i>k</i> = 3(log(max(<i>k</i>, 1)))² + 1.

<p>A: Jeong’s method. B: Newman’s method. C: Corrected Newman’s method. D: PAFit. The solid line depicts the true model. The plots are on a log-log scale. The gray vertical lines are the estimated confidence intervals of the estimated values by PAFit. Confidence intervals are not available in the remaining methods.