Statistics

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.

• Brier Skill Score

$BSS(x,y)=1-\frac{⟨(x-y{)}^2⟩}{⟨(x-x_0{)}^2⟩}$

(1)

• Root-Mean-Squared Error is defined as

$RMSE(x,y,x_0)=\sqrt{⟨(x-y{)}^2⟩}$

(2)

• Relative-Root-Mean-Squared Error

$RRMSE(x,y,x_0)=\frac{\sqrt{⟨(x-y{)}^2⟩}}{\sqrt{⟨(x-x_0{)}^2⟩}}$

(3)

• Relative-Root-Mean-Squared Error Score

Failed to parse (syntax error): {\displaystyle 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 }

(4)

• Relative-Mean-Absolute Error

$RMAE(x,y)=\frac{⟨|x-y|⟩}{\left|x\right|}$

(5)

• Relative-Mean-Absolute Error Score

$RMAES(x,y,x_0)=RMAE(x,y)/RMAE(x,x_0)$

(6)

• Correlation coefficient is defined as

$R=\frac{⟨xy⟩-⟨x⟩⟨y⟩}{\sqrt{⟨x^2⟩-⟨x{⟩}^2}\sqrt{⟨y^2⟩-⟨y{⟩}^2}}$

(7)

The bias is given by

$B=⟨x⟩-⟨y⟩$

(8)

---

Documentation Portal