The parameters of a computer simulator are often poorly defined, and their ranges for a particular application can be mysterious. But the negative consequences of getting these ranges wrong, either too small or too large, endure through all subsequent uses. So ‘setting-up’, by which I mean the process of adjusting the individual ranges in the light of a few carefully-chosen observations, is a crucial first step. Happily there is a relatively straightforward process for setting-up, based on the notion of ‘implausibility’, and making use of simple calculations and visualisations. This process works much better if the analyst is able to proceed sequentially, through several waves of runs. The paper also considers the extension of this process ...
Abstract: Scientists and engineers continuously build models to interpret axiomatic theories or exp...
Simulation software has made great advances in re-cent years along the dimensions of modeling capabi...
Discrete-event stochastic simulation is a powerful tool for understanding and evaluating complex sys...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Visual Analytics offers various interesting methods to explore high dimensional data interactively. ...
Simulation design is the choice of locations in parameter space at which simulations are to be run a...
A simulation is an orchestrated series of operations used to model the behaviour of a system. The sy...
Scientists and engineers continuously build models to interpret axiomatic theories or explain the re...
We will use the word simulation exclusively for the technique to mimic a random process on a compute...
This chapter is about experiments for quality improvement and the innovation of products and process...
Computer models or simulators are becoming increasingly common in many fields in science and enginee...
Simulations not only facilitate new and unprecedented insights in highly sophisticated science areas...
<p>We calibrate a stochastic computer simulation model of “moderate” computational expense. The simu...
In many industrial fields as oil engineering, aeronautics, automotive, nuclear engineering, complex ...
<div><p></p><p>We calibrate a stochastic computer simulation model of ‘moderate’ computational expen...
Abstract: Scientists and engineers continuously build models to interpret axiomatic theories or exp...
Simulation software has made great advances in re-cent years along the dimensions of modeling capabi...
Discrete-event stochastic simulation is a powerful tool for understanding and evaluating complex sys...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Visual Analytics offers various interesting methods to explore high dimensional data interactively. ...
Simulation design is the choice of locations in parameter space at which simulations are to be run a...
A simulation is an orchestrated series of operations used to model the behaviour of a system. The sy...
Scientists and engineers continuously build models to interpret axiomatic theories or explain the re...
We will use the word simulation exclusively for the technique to mimic a random process on a compute...
This chapter is about experiments for quality improvement and the innovation of products and process...
Computer models or simulators are becoming increasingly common in many fields in science and enginee...
Simulations not only facilitate new and unprecedented insights in highly sophisticated science areas...
<p>We calibrate a stochastic computer simulation model of “moderate” computational expense. The simu...
In many industrial fields as oil engineering, aeronautics, automotive, nuclear engineering, complex ...
<div><p></p><p>We calibrate a stochastic computer simulation model of ‘moderate’ computational expen...
Abstract: Scientists and engineers continuously build models to interpret axiomatic theories or exp...
Simulation software has made great advances in re-cent years along the dimensions of modeling capabi...
Discrete-event stochastic simulation is a powerful tool for understanding and evaluating complex sys...