Mallows’s Cp

Mallows’s Cp is used to assess model selection in regression analysis using ordinary least squares (OLS).

Cp=1n(RSS+2pσ^2)

where:

  • RSS: Residual Sum of Squares
  • p: number of parameters used in the model
  • σ^2: estimated variance of the error term

Lower values of Cp indicate better models.