Package jline.api.mam

Class Me_scv

java.lang.Object
jline.api.mam.Me_scv
public final class Me_scv extends Object
ME squared coefficient of variation (SCV) computation algorithms. Provides methods for computing the squared coefficient of variation of Matrix Exponential (ME) distributions. The SCV is the variance divided by the square of the mean: SCV = Var(X) / E[X]^2
Since:
LINE 3.0

  • Method Details

    • me_scv

      public static double me_scv(Matrix alpha, Matrix A)
      Computes the squared coefficient of variation (SCV) of a Matrix Exponential (ME) distribution. The SCV is calculated as: SCV = variance / mean^2
      Parameters:
      alpha - The initial vector of the ME distribution
      A - The matrix parameter of the ME distribution
      Returns:
      The squared coefficient of variation of the ME distribution

    • me_scv

      public static double me_scv(MatrixCell ME)
      Computes the squared coefficient of variation (SCV) of an ME distribution using matrices stored in a MatrixCell. This is a convenience method that computes the SCV using the process representation.
      Parameters:
      ME - The Matrix Exponential distribution stored in a MatrixCell
      Returns:
      The squared coefficient of variation of the ME distribution