. Author manuscript; available in PMC: 2008 Dec 1.

Published in final edited form as: Environ Ecol Stat. 2008 Dec;15(4):421–446. doi: 10.1007/s10651-007-0064-6

Table 6.

Goodness statistic measuring the agreement between the actual proportion of false positives and the significance level used in tests based on three types of neutral models and four estimators for the boundary statistic. The average, minimum and maximum values calculated over 25 simulated rate maps are reported. The last column gives the percentage of simulations where the particular method yields the largest goodness statistic.

Predictor	Average	Minimum	Maximum	% best results
	Neutral Model I
Raw rates	0.898	0.873	0.919	0
Empirical Bayes	0.676	0.605	0.713	0
Poisson kriging	0.554	0.450	0.628	0
Statistic Δ^s_αβ	0.561	0.472	0.629	0
	Neutral Model II
Raw rates	0.822	0.718	0.945	0
Empirical Bayes	0.877	0.814	0.927	0
Poisson kriging	0.772	0.691	0.817	0
Statistic Δ^s_αβ	0.605	0.532	0.656	0
	Neutral Model III
Poisson kriging	0.969	0.883	0.994	96
Statistic Δ^s_αβ	0.914	0.857	0.953	4