Table 11.

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 $r=5$.

% of Data Contamination	Shift	ARIMA	SSA	RLSSA	RHSSA
0%	-	0.715	0.083	0.109	0.127
2%	$y_i+2$	0.612	0.149	0.119	0.133
5%	$y_i+2$	0.640	0.236	0.134	0.148
10%	$y_i+2$	0.675	0.364	0.179	0.232
2%	$y_i\times 5$	1.206	1.235	0.126	0.389
5%	$y_i\times 5$	1.828	2.289	0.167	0.929
10%	$y_i\times 5$	2.384	3.404	0.425	1.463