Title
Steady-State Simulation with Replication-Dependent Initial Transients: Analysis and Examples
Abstract
The replicated batch means RBM method for steady-state simulation output analysis generalizes both the independent replications IR and batch means BM methods. We analyze the performance of RBM in situations where the underlying stochastic process possesses an additive initial transient. Our analysis differs from prior work in that the initial transient is stochastic, and hence the sample paths of the transient process may be replication dependent, and possibly also correlated across replications. We provide asymptotic expressions for the mean and variance of the RBM estimators of the steady-state mean and variance parameter of the stochastic process being simulated. We then use our results to study the performance of RBM as a function of the number of replications, initialization method for the replications, and decay rate of the associated initialization bias. Our results provide guidance on when IR, BM, or a combination thereof is the best choice, and also on effective choices of initial states for the replications.
Year
DOI
Venue
2013
10.1287/ijoc.1110.0494
INFORMS Journal on Computing
Keywords
Field
DocType
rbm method,replication-dependent initial transients,stochastic process,initialization method,initial state,steady-state simulation,associated initialization bias,underlying stochastic process,bm method,rbm estimator,independent replications ir,transient process
Applied mathematics,Mathematical optimization,Expression (mathematics),Variance estimation,Steady state simulation,Stochastic process,Initialization,Statistics,Mathematics,Estimator
Journal
Volume
Issue
ISSN
25
1
1091-9856
Citations 
PageRank 
References 
1
0.37
5
Authors
4
Name
Order
Citations
PageRank
Nilay Tanık Argon1766.71
Sigrún Andradóttir254855.09
Christos Alexopoulos342677.68
David Goldsman4904159.71