Table A1.

Mean of the root mean square errors for model fit, computed for each of the four models, ARIMA, SSA, robust SSA based on the $L_1$ norm, and robust SSA based on the Huber function, for the simulated data, based on 100 runs, using $L=24$ and $r=2$.

% of Data Contamination	Shift	ARIMA	SSA	RLSSA	RHSSA
0%	-	0.1045	0.0097	0.0099	0.0104
2%	$y_i+2$	0.277	0.071	0.058	0.019
5%	$y_i+2$	0.351	0.113	0.096	0.032
10%	$y_i+2$	0.465	0.161	0.197	0.055
2%	$y_i\times 5$	0.279	0.108	0.026	0.018
5%	$y_i\times 5$	0.386	0.193	0.052	0.040
10%	$y_i\times 5$	0.484	0.338	0.075	0.098