Package jline.io

Class Ret.pfqnMcmc

java.lang.Object
jline.io.Ret.pfqnMcmc
Enclosing class:
Ret

public static class Ret.pfqnMcmc extends Object
Return of Pfqn_mcmc: the Chen-O'Cinneide regularization estimates and their batch-means confidence intervals.

There is deliberately NO normalizing constant here. The estimator is a ratio of holding-time weighted averages that yields G(N-e_r)/G(N) directly; G itself never enters the algorithm.

  • Field Details

    • X

      public Matrix X
      (1 x R) throughput estimates G(N-e_r)/G(N).
    • Q

      public Matrix Q
      (M x R) mean queue lengths at the queueing stations.
    • Xse

      public Matrix Xse
      (1 x R) batch-means standard error of X.
    • Xlo

      public Matrix Xlo
      (1 x R) lower end of the two-sigma interval for X.
    • Xhi

      public Matrix Xhi
      (1 x R) upper end of the two-sigma interval for X.
    • Qse

      public Matrix Qse
      (M x R) batch-means standard error of Q.
    • Qlo

      public Matrix Qlo
      (M x R) lower end of the two-sigma interval for Q.
    • Qhi

      public Matrix Qhi
      (M x R) upper end of the two-sigma interval for Q.
    • batches

      public int batches
      batches the run was split into.
    • samples

      public long samples
      service completions actually simulated after warm-up.
    • burnin

      public long burnin
      completions discarded as warm-up.
  • Constructor Details