Two measures of variation for non-parametric estimates in closed-loop

It is known that non-parametric transfer function estimates in closed-loop often have infinite variance. But the expected value of the absolute value of such estimates is finite, and we propose it as a measure of variation. We also derive and discuss new expressions for the variance when an exclusion zone is introduced around the singularity.