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Confidence Intervals for the Difference of Two Functions of Parameters in Nonlinear Repeated Measurements
by
Hiroto Hyakutake
Faculty of Mathematics
Coauthors: Risa Yamasaki
It is interesting to compare functions of parameters in nonlinear models for repeated measurements. For example, in pharmacokinetic model, the maximum value of the model would be a nonlinear function of some unknown parameters. We give approximated confidence intervals of the difference of two functions of parameters in a nonlinear model for repeated measurement data in order to comparing two population. The accuracy of approximation is examined by simulation.
Date received: October 12, 2005
Copyright © 2005 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # carm-53.