Class Infer_qmleKt

  • All Implemented Interfaces:

    
    public final class Infer_qmleKt
    
                        
    • Nested Class Summary

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    • Field Summary

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    • Enum Constant Summary

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      Enum Constant Description
    • Method Summary

      Modifier and Type Method Description
      final static Matrix infer_qmle(Matrix Q, DoubleArray N, DoubleArray Z) Quick Maximum Likelihood Estimation closed-form formula.
      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

    • Method Detail

      • infer_qmle

         final static Matrix infer_qmle(Matrix Q, DoubleArray N, DoubleArray Z)

        Quick Maximum Likelihood Estimation closed-form formula.

        D(i,j) = Q(i,j) / (N(j) - sum(Q(:,j))) * Z(j) / (1 + sum(Q(i,:)) - Q(i,j)/N(j))

        Parameters:
        Q - mean queue lengths matrix (M x R)
        N - population vector (1 x R or length-R array)
        Z - think time vector (1 x R or length-R array)
        Returns:

        demand estimates matrix (M x R)