Table 5:

EGF $\widehat{q}={[\widehat{D},{\widehat{\gamma }}_1,{\widehat{\gamma }}_2]}^T$ estimate table when fitting ${\mathcal{l}}_{model}^{\beta }(t,\overrightarrow{q})$ to ${\mathcal{l}}_{data}^{\beta }(t)$ for Models H and P for β = 0.1, 0.2, 0.3. Estimates are calculated by fitting the models to the mean leading edge distance traveled and the standard deviation is calculated from the sample standard deviation of the three estimates used to fit the individual data sets.

β	Model H			Model P
	$\widehat{D}$	${\widehat{\gamma }}_1$	${\widehat{\gamma }}_2$	$\widehat{D}$	${\widehat{\gamma }}_1$	${\widehat{\gamma }}_2$
0.1	32400 ± 1100	13100 ± 200	10300 ± 700	6·5 ± 13	40 ± 300	152600 ± 22500
0.2	73100 ± 2700	20500 ± 600	32900 ± 1500	16 ± 4	50 ± 1500	169900 ± 9400
0.3	144800 ± 9800	7900 ± 700	100700 ± 1100	13 ± 2	20 ± 400	198900 ± 12600
% change	347%	160%	882%	146%	165%	30%