Figure 3.

Relationship between accuracy and consistency, dependent on different ratios of  σ_int/σ_ext. (a) Colored lines were calculated using a wrapped Gaussian distribution, and the dashed gray lines are based on Gaussian distributions used by Burgess and Colborne (1988). The line for σ_int/σ_ext = ∞ is the case without external noise. (b) Schematic of how data were analyzed for two example data points. Internal noise for the data falling above the  σ_int/σ_ext = ∞ curve (e.g., square) was estimated by finding the nearest point on the σ_int/σ_ext = ∞ curve, and the internal noise associated with that point was taken as the measured internal noise. For all other data (circle), the best fitting line determined σ_int/σ_ext.