Fig. 6

Model 1 – Mean squared error (MSE) of the distribution of parameter estimates (200 realizations) for each estimated parameter set Θ_i, where i indicates the number of parameters being jointly estimated. Note that the y-axis (MSE) is represented with a logarithmic scale