Thank you very much for your kind reply. Indeed I feel what I tried to explain must have been a bit confusing!
A bit more information in detail: 0.2813+-0.0984 A + 0.0192+-0.0184 B ----> 0.1052+-0.0509 X is a biochemical reaction I obtain from a parameter identification (using several Matlab optimizers). I use the Fisher Information matrix to "a posteriori" estimate the confidence limits for all parameters as shown in the reaction. As of now, I have never been interested in the confidence limits, so I could easily normalize a reaction such as 0.2813 A + 0.0192 B ----> 0.1052 X with respect to X to obtain 2.67 A + 0.18 B --> X . Now I am very much interested in the confidence limits (or intervals) of all parameters. The identification procedure yields: 0.2813+-0.0984 A + 0.0192+-0.0184 B ----> 0.1052+-0.0509 X Is there a possibility to calculate the coefficients of A and B such that the biochemical reaction can be rewritten as? xx A + yy B ----> X without having to change the parameter estimation procedure just by using the output as I obtain it so far. I realize that it is problematic, that the coefficient of X is now deterministic equal to one, where the uncertainties expressed by the confidence limits should now be included in the coefficients of the other reaction components A and B. The normalization is necessary to compare the identification results with a reference reaction scheme. Can you think of a proper solution to this problem? Any help on that greatly appreciated. I hope these explanations better explain my problem. Thanks in advance Juergen U. Fritz ( [EMAIL PROTECTED] ) . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
