Abstract:
A statistical estimate for generalized dimensions of a set $A\subset \mathbb R^m$ based on the computation of average distances to the closest points in a sample of elements of A is given. For smooth manifolds with Lebesgue measures and for self-similar fractals with self-similar measures, the estimate is proved to be consistent.