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S_1 = 100 \frac{\sum_{i=1}^n w_i (e_g)_i}{\sum_{i=1}^n w_i (G_L)_i} |
Where:
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x_f |
...
= the forecast value of the parameter in question
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x_v |
...
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x_c |
...
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M_{f,c} |
...
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M_{v,c} |
...
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\vec{V}_f |
...
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\vec{V}_v |
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