Stochastic simulation of biotechnical processes Original Research Article

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.