We derived three widely used linearizations from the definition of receptor availability in molecular imaging with Positron Emission Tomography. The purpose of the present research was to determine the convergence of the results of the three methods in terms of three parameters, occupancy (s), distribution volume of the non-displaceable binding compartment (VND), and binding potential of the radioligand (BPND), in the absence of a gold standard. We tested 104 cases culled from the literature and calculated the goodness of fit of each of the Least Squares (LSM) and Deming II (DM) methods of linear regression when applied to the determination of the three main parameters, s, VND, and BPND, using the goodness of fit parameters R 2 , coefficient of variation (RMSE), and ‖𝑋‖ with both regression methods. We observed superior convergence among the values of s, VND, and BPND for the Inhibition and Occupancy plots. The Inhibition Plot emerged as the plot with a slightly higher degree of convergence (based on R 2 , RMSE and ‖𝑋‖ value). With two regression methods, Least Squares (LSM) and Deming II (DM), the estimated values of s, VND, and BPND generally converged. The Inhibition and Occupancy plots yielded the best fits to the data, according to the goodness of fit parameters, due primarily to the absent commingling of the dependent and independent variables tested with the Saturation (original Lassen) plot. In the presence of noise, the Inhibition and Occupancy plots yielded higher convergence.