A dynamic model of a seeded batch crystallizer is used to investigate the process-dependent aspects of nucleation and growth kinetic parameter estimation by computer simulation. The satisfactory identification of all parameters in power-law-type kinetics with respect to supersaturation requires the use of nonlinear parameter transformations. The proper choice for transformation is problem-dependent, becoming more sensitive as nucleation rates increase, and the percentage of crystals below the measurable range increases.