Title of article :
Compound and other optimum designs for systems of nonlinear differential equations arising in chemical kinetics
Author/Authors :
Atkinson، نويسنده , , Anthony C. and Bogacka، نويسنده , , Barbara، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 2002
Abstract :
The optimum design of experiments for nonlinear models requires parameter sensitivities, that is the derivatives of the response with respect to the parameters. If the differential equations forming the kinetic model do not have an analytical solution, numerical derivatives have to be used. We describe the “direct” method for calculating the sensitivities and apply it to the design of experiments for estimating the order of chemical reactions.
Keywords :
Multipurpose design , Parameter estimation , Bayesian design , Sensitivity
Journal title :
Chemometrics and Intelligent Laboratory Systems
Journal title :
Chemometrics and Intelligent Laboratory Systems