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WSC
2004
14 years 11 months ago
Using Simulated Data in Support of Research on Regression Analysis
Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
Christopher Michael Hill, Linda C. Malone
ANSS
1996
IEEE
15 years 1 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
STTT
1998
130views more  STTT 1998»
14 years 9 months ago
The Practitioner's Guide to Coloured Petri Nets
Abstract. Coloured Petri nets (CP-nets or CPNs) provide a framework for the design, specification, validation, and verification of systems. CP-nets have a wide range of applicati...
Lars Michael Kristensen, Søren Christensen,...
HICSS
2003
IEEE
159views Biometrics» more  HICSS 2003»
15 years 2 months ago
Emergent Structures in Supply Chains - A Study Integrating Agent-Based and System Dynamics Modeling
Supply chain management is a demanding and complicated task due to its broad scope and the strong connectedness of its objects and issues. In order to make theoretical investigati...
Nadine Schieritz, Andreas Größler
73
Voted
WSC
2008
14 years 12 months ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi