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Determining What Can Be Predicted: Identifiability

  • Louis Anthony CoxJr
Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 129)

One of the best developed ways to predict how changing inputs to a complex system will change its probable outputs is to simulate the behavior of the system. Modern simulation modeling software environments (such as MATLAB/SIMULINK®, or STELLA/ITHINK® for continuous simulation, and SIMUL8® for discrete-event simulation) make the mechanics of simulation model building and use relatively straightforward. Stochastic simulation risk models have been developed for business, engineering, biological, social, and economic systems. (Agent-based simulation models have also been developed for complex social and economic systems, but this chapter focuses on continuous simulation.)

Keywords

Transition Rate Clonal Expansion Pharmacodynamic Parameter Internal Dose Continuous Simulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Cox AssociatesDenverUSA

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