Package jline.io
Class Ret.pfqnMcmc
java.lang.Object
jline.io.Ret.pfqnMcmc
- Enclosing class:
- Ret
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.
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Field Summary
FieldsModifier and TypeFieldDescriptionintbatches the run was split into.longcompletions discarded as warm-up.(M x R) mean queue lengths at the queueing stations.(M x R) upper end of the two-sigma interval for Q.(M x R) lower end of the two-sigma interval for Q.(M x R) batch-means standard error of Q.longservice completions actually simulated after warm-up.(1 x R) throughput estimates G(N-e_r)/G(N).(1 x R) upper end of the two-sigma interval for X.(1 x R) lower end of the two-sigma interval for X.(1 x R) batch-means standard error of X. -
Constructor Summary
Constructors -
Method Summary
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Field Details
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X
(1 x R) throughput estimates G(N-e_r)/G(N). -
Q
(M x R) mean queue lengths at the queueing stations. -
Xse
(1 x R) batch-means standard error of X. -
Xlo
(1 x R) lower end of the two-sigma interval for X. -
Xhi
(1 x R) upper end of the two-sigma interval for X. -
Qse
(M x R) batch-means standard error of Q. -
Qlo
(M x R) lower end of the two-sigma interval for Q. -
Qhi
(M x R) upper end of the two-sigma interval for Q. -
batches
public int batchesbatches the run was split into. -
samples
public long samplesservice completions actually simulated after warm-up. -
burnin
public long burnincompletions discarded as warm-up.
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Constructor Details
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pfqnMcmc
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