Table 1 Tests of power-law model for the street-network evolution of the city of Dundee. The symbols are as follows. Number of street segments for each time period (n), scaling exponent based on MLE (α) (± shows the standard error on α), the number of observations in the power law range, ntail (± shows the standard error of the ntai)l, lower bound of power law (x_min) at which the power law model no longer applies (± shows the standard error of x_min), power law fits and the corresponding p-values and each of the subsequent rows shows the log likelihood ratios (LR) for the alternative models (fits) and the associated p-values. Positive values for LR indicate that the power law model is favoured over the alternative models if the p-value < 0.1. However, if the p-value is large than 0.1, the sign is not a reliable indicator as to which model provides the better fit to the data

From: Entropy and order in urban street networks