Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1149084 | Journal of Statistical Planning and Inference | 2010 | 10 Pages |
Abstract
The shorth plot is a nonparametric method to visualize probability mass concentration. It is based on the length of the shortest interval containing a certain fraction of the probability distribution and a point x . We establish functional central limit theorems (convergence rate 1/n) for the empirical shorth plot under natural conditions. The limiting process is not necessarily Gaussian. In the proofs, we generalize the Vervaat (1972) lemma to a collection of functions.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
John H.J. Einmahl, Maria Gantner, Günther Sawitzki,