Fig. 2
From: A simple method for identifying parameter correlations in partially observed linear dynamic models
Estimation results of example 1. The identifiable combinations of the parameters are validated by repeatedly fitting the model to one dataset from the initial condition x 10 ≠ 0, x 20 = 0. The curves are from the results of 90 runs each of which with a different fixed value of p 1. a: p 2 p 3 = 0.7; b: p 1 + p 2 = 1.4; c: p 3 + p 4 = 1.4