Stochastic simulation of biotechnical processes

Michael Kinder and Wolfgang Wiechert

Mathematics and Computers in Simulation (MATCOM), 1996, vol. 42, issue 2, 171-178

Abstract: The stochastic counterpart to the commonly used deterministic description of biotechnical processes with ordinary differential equations is introduced. We briefly discuss calculus, numerical and statistical treatment of stochastic differential equations. A simple method to construct confidence intervals is presented. With this approach simulation results help to find robust solutions for biotechnical control problems. Several applications illustrate our approach.

Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:42:y:1996:i:2:p:171-178

DOI: 10.1016/0378-4754(95)00130-1

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