Article ID Journal Published Year Pages File Type
1149084 Journal of Statistical Planning and Inference 2010 10 Pages PDF
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
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