Total Error in a Plug-in Estimator of Level Sets

Given a probability density f on R^d, the minimum volume set of probability content á can be estimated by the level set of the same probability content corresponding to a kernel estimator of f. We obtain convergence rates for this plug-in estimator with respect to a measure-based distance between sets. This distance has a straightforward interpretation in the context of cluster analysis.