Fig. 4From: A simple method for identifying parameter correlations in partially observed linear dynamic modelsEstimation results of example 4. The identifiable combinations of the parameters are validated by repeatedly fitting the model to one dataset from x 10 = x 20 = x 30 = x 40 = 0 and u ≠ 0. The curves are from the results of 176 runs each of which with a different fixed value of p 43. a: p 43 + p 03 = 5.0; b: p 24 p 43 = 14.0; c: p 42 p 04 = 2.1; d: p 42 + p 04 + p 24 = 7.2Back to article page