Figure 3.

Variance of noisy counts as functions of β and α. (A) Variance of noise for true count equal to 80 versus parameter β⁺ when β⁻=1 in the linear asymmetric utility. For larger ɛ, the variance is smaller even with a larger degree of asymmetry. (B) Variance of noise for true count equal to 400 versus α in the non-linear symmetric utility with β=1. The upper plot shows a larger range of α values and the lower plot is zoomed in for larger α.