# The Effect of Data Transformation on Singular Spectrum Analysis for Forecasting
## 6 Concluding Remarks
\begin{tabular}{c c c c c c c} \hline \hline
**Series’** & \multicolumn{3}{c}{**h = 6**} & \multicolumn{3}{c}{**h = 12**} & \\
**Code** & **NT** & **Std** & **Log** & **NT** & **Std** & **Log** \\ \hline A001 & 3.083 & 2.326 & 2.919 & 5.593 & 4.355 & 5.503 \\ A002 & 37.593 & 36.769 & 33.318 & 39.847 & 38.221 & 37.346 \\ A003 & 16,770.672 & 17,357.863 & 16,657.420 & 15,925.414 & 18,493.303 & 16,868.789 \\ A004 & 0.709 & 0.455 & 0.446 & 0.715 & 0.639 & 0.585 \\ A005 & 63.208 & 61.157 & 63.065 & 61.792 & 60.274 & 61.740 \\ A006 & 0.140 & 0.144 & 0.138 & 0.209 & 0.194 & 0.204 \\ A007 & 642.282 & 522.970 & 388.967 & 613.790 & 550.802 & 482.934 \\ A008 & 36.757 & 22.657 & 32.054 & 31.678 & 25.325 & 31.028 \\ A009 & 0.063 & 0.064 & 0.063 & 0.091 & 0.092 & 0.091 \\ A010 & 0.381 & 0.489 & 0.515 & 0.492 & 0.908 & 2.268 \\ A011 & 0.964 & 0.817 & 0.689 & 0.929 & 1.592 & 0.977 \\ A012 & 1.856 & 1.994 & 1.782 & 2.536 & 2.947 & 2.197 \\ A013 & 4.561 & 3.983 & 142.109 & 3.901 & 3.624 & \(2.37\times 10^{7}\) \\ A014 & 10.397 & 9.917 & 10.106 & 13.580 & 12.915 & 13.602 \\ A015 & \(1.92\times 10^{10}\) & \(1.12\times 10^{10}\) & \(8.94\times 10^{9}\) & \(2.86\times 10^{10}\) & \(1.65\times 10^{10}\) & \(1.14\times 10^{10}\) \\ A016 & \(2.44\times 10^{10}\) & \(2.09\times 10^{10}\) & \(2.15\times 10^{10}\) & \(4.10\times 10^{10}\) & \(2.70\times 10^{10}\) & \(2.80\times 10^{10}\) \\ A017 & 30.286 & 23.902 & Inf & 46.368 & 28.383 & Inf \\ A018 & 21.450 & 19.146 & 20.342 & 34.721 & 21.988 & 28.244 \\ A019 & 1.555 & 1.436 & 1.447 & 1.517 & 1.476 & 1.511 \\ A020 & 1.330 & 1.391 & 1.435 & 1.387 & 1.440 & 1.557 \\ A021 & 1.138 & 1.134 & 1.092 & 1.126 & 1.134 & 1.166 \\ A022 & 1.265 & 1.239 & 1.287 & 1.321 & 1.265 & 1.273 \\ A023 & 6.861 & 6.813 & 6.278 & 7.870 & 7.750 & 7.283 \\ A024 & 1.198 & 1.293 & 1.283 & 1.396 & 1.943 & 1.555 \\ A025 & 29.947 & 44.077 & 78.266 & 33.726 & 57.839 & 467.347 \\ A026 & 2.515 & 3.076 & 4.651 & 2.847 & 4.475 & 5.937 \\ A027 & 0.152 & 13.916 & 0.486 & 0.180 & 12187.788 & 0.889 \\ A028 & 4436.727 & 4208.136 & 3995.665 & 2687.645 & 3283.876 & 2860.657 \\ A029 & 70.063 & 104.764 & 108.981 & 80.046 & 153.812 & 222.842 \\ A030 & 40.923 & 103.102 & 82.010 & 50.163 & 1302.044 & 200.370 \\ A031 & 1557.631 & 12.751 & 9.338 & 2.16E+25 & 16.890 & 348,877.932 \\ A032 & 15.136 & 13.364 & 14.781 & 20.471 & 11.586 & 19.519 \\ A033 & 16.619 & 11.811 & 14.619 & 338.296 & 212.221 & 31,730.543 \\ A034 & 10.100 & 9.151 & 11.136 & 27.066 & 16.203 & 24.326 \\ A035 & 2.554 & 3.283 & 6.623 & 4.415 & 5.513 & 7.378 \\ A036 & 0.190 & 0.179 & 0.199 & 0.259 & 0.241 & 0.237 \\ A037 & 0.542 & 0.494 & 0.467 & 0.706 & 0.795 & 0.771 \\ A038 & 2.077 & 1.588 & 2.504 & 4.153 & 2.112 & 3.248 \\ A039 & 9.958 & 7.750 & 15.538 & 12.330 & 9.615 & 27.556 \\ A040 & 1185.420 & 967.918 & 1187.496 & 1781.242 & 1087.955 & 1476.007 \\ A041 & 0.437 & 0.491 & 0.437 & 0.537 & 0.630 & 0.536 \\ A042 & 282.364 & 652.016 & 211.125 & 1844.972 & 4.31 \(\times\) 10\({}^{6}\) & 488.603 \\ A043 & 68.250 & 65.163 & 82.580 & 114.347 & 100.176 & 263.026 \\ A044 & 467.834 & 637.165 & 587.869 & 511.228 & 585.946 & 626.670 \\ A045 & 1.422 & 1.419 & 1.661 & 1.334 & 1.329 & 1.570 \\ A046 & 23.722 & 11.922 & 9.536 & 35.328 & 28.669 & 19.088 \\ A047 & 8.883 & 8.557 & 10.191 & 9.115 & 8.849 & 9.983 \\ A048 & 6.35 \(\times\) 10\({}^{5}\) & \(2.25\times\) 10\({}^{5}\) & Inf & \(2.73\times 10^{6}\) & \(2.71\times 10^{5}\) & Inf \\ A049 & 1.353 & 1.320 & 1.355 & 1.326 & 1.424 & 1.338 \\ A050 & 59.765 & 528.428 & 56.831 & 103.999 & 935.576 & 99.881 \\ \hline \hline \end{tabular}   
* \(\mathrm{NT}=\) No Transformation, Std = Standardisation, and Log = Logarithmic.