Example description

nag_tsa_multi_filter_transf (g13bbc) Example Program Results

                  Original        Filtered
 Backforecasts    y-series         series
     -12           5159.0          4549.2
     -11           5165.9          4550.9
     -10           4947.5          4552.8
      -9           4729.8          4554.9
      -8           4424.5          4557.4
      -7           4072.5          4560.7
      -6           3995.5          4565.0
      -5           4142.7          4571.1
      -4           4219.7          4580.0
      -3           4452.1          4593.5
      -2           4758.0          4614.3
      -1           4834.6          4647.1

        Filtered       Filtered       Filtered       Filtered
         series         series         series         series
    1    4699.2    2    4782.2    3    4552.8    4    4550.4
    5    4525.7    6    4324.8    7    4256.9    8    4169.7
    9    4127.9   10    4154.6   11    4011.3   12    3878.7
   13    3705.1   14    3619.1   15    3603.1   16    3496.1
   17    3422.6   18    3463.5   19    3349.8   20    3262.1
   21    3225.9   22    3218.1   23    3103.6   24    3023.5
   25    2905.9   26    2758.5   27    2828.2   28    2958.4
   29    2926.2   30    3019.8   31    3010.7   32    3082.8
   33    3111.7   34    3286.3   35    3279.3   36    3324.4
   37    3461.7   38    3468.3   39    3709.0   40    3839.6
   41    4004.4   42    4146.3   43    4265.3   44    4344.6
   45    4419.8   46    4647.2   47    4802.6   48    4999.5
   49    5446.0   50    5861.0   51    5855.9   52    5310.7
   53    5202.5   54    5046.6   55    4857.1   56    4812.3
   57    4740.7   58    4631.1   59    4447.5   60    4317.7
   61    4079.8   62    3833.7   63    3667.7   64    3774.8
   65    3709.9   66    3648.5   67    3645.3   68    3619.8
   69    3549.4   70    3439.2   71    3250.3   72    3209.2
   73    3005.2   74    2912.4   75    2994.1   76    2947.9
   77    3103.7   78    3168.1   79    3226.0   80    3224.1
   81    3233.0   82    3119.2   83    2992.5   84    3014.8
   85    2763.7   86    2671.3   87    2664.9   88    2778.2
   89    2823.8   90    2989.0   91    3072.2   92    3132.1
   93    3394.6   94    3717.4   95    4180.5   96    4405.9
   97    4605.2   98    4733.0   99    4830.9  100    5030.8
  101    5079.0  102    5125.0  103    5236.7  104    5392.7
  105    5396.7  106    5300.7  107    5312.1  108    5336.6
  109    5347.9  110    5331.2  111    5322.0  112    5444.8
  113    5468.7  114    5532.9  115    5555.9  116    5603.4
  117    5483.2  118    5406.8  119    5250.5  120    5171.9
  121    5217.4  122    5162.3  123    5296.1  124    5268.2
  125    5204.9  126    5290.7  127    5500.0  128    5552.3
  129    5503.3  130    5419.2  131    5335.6  132    5447.6
  133    5495.1  134    5475.1  135    5643.8  136    5713.1
  137    5655.1  138    5691.9  139    5958.4  140    5959.0
  141    5884.8  142    3714.7  143    5877.8  144    5814.1
  145    6095.6  146    6210.7  147    6560.5  148    7013.9
  149    7174.8  150    7230.8  151    7726.7  152    7880.0
  153    7997.4  154    8428.5  155    8264.1  156    8443.1
  157    8615.4  158    8644.6