Variance reduction techniques have been shown by others in the past to be a useful tool to reduce variance in Simulation studies. However, their application and success in the past has been mainly domain specific, with relatively little guidelines as to their general applicability, in particular for novices in this area. To facilitate their use, this study aims to investigate the robustness of individual techniques across a set of scenarios from different domains. Experimental results show that Control Variates is the only technique which achieves a reduction in variance across all domains. Furthermore, applied individually, Antithetic Variates and Control Variates perform particularly well in the Cross-docking scenarios, which was previous...
In this thesis, the design and development of a decision support system for the selection of a varia...
The subject of this thesis is the development of an expert system to offer advising for variance red...
Variance reduction techniques are designed to improve the efficiency of stochastic simulations--that...
Cataloged from PDF version of article.In this thesis, we consider four different Variance Reduction ...
With the expanding use of computer simulation to model and solve industrial engineering problems, th...
We provide a thorough analysis of the effectiveness of different variance reduction techniques (VRTs...
There has been a great interest in the use of variance reduction techniques (VRTs) in simulation out...
We provide a thorough analysis of the effectiveness of different Variance Reduction Techniques (VRTs...
This project research seeks to analyse the impact of variance in the dry concrete manufacturing proc...
AbstractVariance reduction increases the efficiency of discrete event simulation. The method of usin...
In this thesis, the design and development of a decision support system for the selection of a varia...
AbstractVariance reduction increases the efficiency of discrete event simulation. The method of usin...
cohort simulations that reduce the number of simulation replications required to achieve a given deg...
Abstract — This paper deals with efficiency issues of estimating common error performance measures o...
This paper investigates the reduction of variance associated with a simulation output performance me...
In this thesis, the design and development of a decision support system for the selection of a varia...
The subject of this thesis is the development of an expert system to offer advising for variance red...
Variance reduction techniques are designed to improve the efficiency of stochastic simulations--that...
Cataloged from PDF version of article.In this thesis, we consider four different Variance Reduction ...
With the expanding use of computer simulation to model and solve industrial engineering problems, th...
We provide a thorough analysis of the effectiveness of different variance reduction techniques (VRTs...
There has been a great interest in the use of variance reduction techniques (VRTs) in simulation out...
We provide a thorough analysis of the effectiveness of different Variance Reduction Techniques (VRTs...
This project research seeks to analyse the impact of variance in the dry concrete manufacturing proc...
AbstractVariance reduction increases the efficiency of discrete event simulation. The method of usin...
In this thesis, the design and development of a decision support system for the selection of a varia...
AbstractVariance reduction increases the efficiency of discrete event simulation. The method of usin...
cohort simulations that reduce the number of simulation replications required to achieve a given deg...
Abstract — This paper deals with efficiency issues of estimating common error performance measures o...
This paper investigates the reduction of variance associated with a simulation output performance me...
In this thesis, the design and development of a decision support system for the selection of a varia...
The subject of this thesis is the development of an expert system to offer advising for variance red...
Variance reduction techniques are designed to improve the efficiency of stochastic simulations--that...