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| *Relative-Root-Mean-Squared Error Score | | *Relative-Root-Mean-Squared Error Score |
| {{Equation|<math> RRMSES(x,y,x_0) = 1-\frac{\sqrt{ \bigg\langle \big( x - y \big)^2 \bigg\rangle }} { \sqrt{ \bigg\langle \big( x - x_0 \big)^2 \bigg\rangle </math>|2=4}} | | {{Equation|<math> RRMSES(x,y,x_0) = 1-\frac{\sqrt{ \bigg\langle \big( x - y \big)^2 \bigg\rangle }} { \sqrt{ \bigg\langle \big( x - x_0 \big)^2 \bigg\rangle }} </math>|2=4}} |
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| *Relative-Mean-Absolute Error | | *Relative-Mean-Absolute Error |
Revision as of 18:10, 6 December 2010
Given the observed values x and calculated values y, there are several goodness of fit statistics or skill scores which can be calculated. The definition for some of the more common ones are provided below.
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(1)
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- Root-Mean-Squared Error is defined as
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(2)
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- Relative-Root-Mean-Squared Error
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(3)
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- Relative-Root-Mean-Squared Error Score
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(4)
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- Relative-Mean-Absolute Error
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(5)
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- Relative-Mean-Absolute Error Score
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(6)
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- Correlation coefficient is defined as
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(7)
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The bias is given by
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(8)
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