Independent replications (IR) and batch means (BM) are two of the most widely used variance-estimation methods for simulation output analysis. Andradóttir and Argon (2002) proposed the method of replicated batch means (RBM), which combines good characteristics of IR and BM. The current paper gives analytical results for the mean and variance of the RBM estimator for a class of processes having an initial transient with an additive form. Along the way, we provide complementary extensions of the main variance result in the Andradóttir and Argon paper. An example illustrates our findings
Consistent estimation of the variance parameter of a stochastic process allows construction, under c...
Weighted batch means is a new procedure for constructing a confidence interval on the mean of a stea...
We propose SPSTS, an automated sequential procedure for computing point and confidence-interval (CI)...
We present a new method for obtaining confidence intervals in steady-state simulation. In our replic...
We propose a new class of estimators for the asymptotic variance parameter of a stationary simulatio...
[[abstract]]© 2010 Elsevier - Estimating the variance of the sample mean from a stochastic process i...
[[abstract]]The estimation of the variance of point estimators is a classical problem of stochastic ...
In a previous article, we studied a then-new class of standardized time series (STS) estimators for ...
As an advanced tutorial, we discuss batching meth-ods for determining point-estimator precision for ...
Simulation output analysis involves two major problems: point estimation and standard-error estimati...
The authors modify an earlier approach developed for reducing the bias of the estimator for the mean...
[[abstract]]© 1993 INFORMS - Many commonly used estimators of the variance of the sample mean from a...
[[abstract]]© 1996 Institute of Electrical and Electronics Engineers - As an advanced tutorial, we d...
Estimating the variance of the sample mean from a stochastic process is essential in assessing the q...
There has been a great interest in the use of variance reduction techniques (VRTs) in simulation out...
Consistent estimation of the variance parameter of a stochastic process allows construction, under c...
Weighted batch means is a new procedure for constructing a confidence interval on the mean of a stea...
We propose SPSTS, an automated sequential procedure for computing point and confidence-interval (CI)...
We present a new method for obtaining confidence intervals in steady-state simulation. In our replic...
We propose a new class of estimators for the asymptotic variance parameter of a stationary simulatio...
[[abstract]]© 2010 Elsevier - Estimating the variance of the sample mean from a stochastic process i...
[[abstract]]The estimation of the variance of point estimators is a classical problem of stochastic ...
In a previous article, we studied a then-new class of standardized time series (STS) estimators for ...
As an advanced tutorial, we discuss batching meth-ods for determining point-estimator precision for ...
Simulation output analysis involves two major problems: point estimation and standard-error estimati...
The authors modify an earlier approach developed for reducing the bias of the estimator for the mean...
[[abstract]]© 1993 INFORMS - Many commonly used estimators of the variance of the sample mean from a...
[[abstract]]© 1996 Institute of Electrical and Electronics Engineers - As an advanced tutorial, we d...
Estimating the variance of the sample mean from a stochastic process is essential in assessing the q...
There has been a great interest in the use of variance reduction techniques (VRTs) in simulation out...
Consistent estimation of the variance parameter of a stochastic process allows construction, under c...
Weighted batch means is a new procedure for constructing a confidence interval on the mean of a stea...
We propose SPSTS, an automated sequential procedure for computing point and confidence-interval (CI)...