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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.
The Root-Mean-Squared Error is defined as  
The Root-Mean-Squared Error is defined as  
{{Equation|<math> RMSE = \sqrt{ \bigg\langle \big(  x - y  \big)^2  \bigg\rangle  } </math>|2=1}}
{{Equation|<math> RMSE = \sqrt{ \bigg\langle \big(  x - y  \big)^2  \bigg\rangle  } </math>|2=1}}
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The bias is given by
The bias is given by
{{Equation|<math>  B =  \langle x \rangle - \langle y  \rangle  </math>|2=4}}
{{Equation|<math>  B =  \langle x \rangle - \langle y  \rangle  </math>|2=4}}
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Revision as of 17:52, 22 October 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.

The Root-Mean-Squared Error is defined as

  (1)

The Relative-Mean-Absolute Error is defined as

  (2)

The correlation coefficient is defined as

  (3)

The bias is given by

  (4)

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