Determining What Can Be Predicted: Identifiability

Louis Anthony Cox ()
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Louis Anthony Cox: Cox Associates

Chapter Chapter 11 in Risk Analysis of Complex and Uncertain Systems, 2009, pp 261-280 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-0-387-89014-2_11

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DOI: 10.1007/978-0-387-89014-2_11

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