44 search results - page 2 / 9 » Univariate input models for stochastic simulation |
WSC
2001
13 years 7 months ago
2001
Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
WSC
1997
13 years 7 months ago
1997
Discrete-event simulation models typically have stochastic components that mimic the probabilistic nature of the system under consideration. Successful input modeling requires a c...
TSP
2008
13 years 5 months ago
2008
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
WSC
2000
13 years 7 months ago
2000
Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
WSC
1997
13 years 7 months ago
1997
In this paper, we describe a technique to construct accurate stochastic simulation models from acquired trace data. The resulting simulation models accept input trace data and ret...