%0 Journal Article
%J Mathematics and Computers in Simulation 42 (2-3):17
%D 1996
%T Stochastic simulation of biotechnical processes
%A Kinder, Michael
%A Wiechert, Wolfgang
%X 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.
%B Mathematics and Computers in Simulation 42 (2-3):17
%V 42
%P 171–178
%G eng
%U http://dx.doi.org/10.1016/0378-4754(95)00130-1
%N 2-3
%R 10.1016/0378-4754(95)00130-1