Input modeling when simple models fail
Barry L. Nelson,Marne C. Cario,Chester A. Harris,Stephanie A. Jamison,J. O. Miller,James Steinbugl,Jaehwan Yang,Peter P. Ware +7 more
- pp 93-100
TLDR
This tutorial describes input models that are useful when simple models are not, and how to fit these distributions to data.Abstract:
A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncertain elements. Simple input models, consisting of independent and identically distributed sequences of random variates from standard probability distributions, are included in every commercial simulation language. Software to fit these distributions to data is also available. In this tutorial we describe input models that are useful when simple models are not.read more
Citations
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Proceedings of the 2000 winter simulation conference
TL;DR: This paper reviews statistical methods for analyzing output data from computer simulations to find the best system among a set of competing alternatives on the estimation of steady-state system parameters.
Proceedings ArticleDOI
Input modeling tools for complex problems
TL;DR: This tutorial describes input models that are useful when the input modeling problem is more complex, and describes how to fit these distributions to data.
Journal ArticleDOI
Generation of simulation input scenarios using bootstrap methods
TL;DR: A way to use the moving blocks bootstrap to convert a single trace into an unlimited number of realistic input scenarios by setting the bootstrap block size to make the boot strap samples mimic independent realizations in terms of the distribution of distance between pairs of inputs.
Proceedings ArticleDOI
Sensitivity of output performance measures to input distributions in queueing simulation modeling
Donald Gross,Matt Juttijudata +1 more
TL;DR: Investigation of the sensitivity of output performance measures in two types of queueing networks, namely two versions of a two-node call center, to see if network mixing might reduce the sensitivity effect.
Proceedings ArticleDOI
Input modeling
TL;DR: The general question considered here is how to model an element in a discrete-event simulation given a data set collected on the element of interest, and it is assumed that data is available on the aspect of the simulation of interest.
References
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