. 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 3.

Mean absolute error (MAE) of prediction of the boundary statistic by five alternate estimators. The average, minimum and maximum MAE calculated over 25 simulated rate maps are reported. The last column gives the percentage of realizations where the MAE for the geostatistical methods is lower than for the local empirical Bayes smoother.

Predictor	Average	Minimum	Maximum	% best prediction
Raw rates	0.4556	0.4178	0.4907
Empirical Bayes	0.1027	0.0830	0.1199
Poisson kriging	0.0890	0.0809	0.0985	96
Statistic Δ^E_αβ	0.0890	0.0807	0.0982	96
Statistic Δ^s_αβ	0.1074	0.0925	0.1287	28