Asymptotics of the Shorth Plot

J.H.J. Einmahl, M. Gantner, G. Sawitzki

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)3003-3012
JournalJournal of Statistical Planning and Inference
Issue number11
Publication statusPublished - 2010

Fingerprint Dive into the research topics of 'Asymptotics of the Shorth Plot'. Together they form a unique fingerprint.

  • Cite this

    Einmahl, J. H. J., Gantner, M., & Sawitzki, G. (2010). Asymptotics of the Shorth Plot. Journal of Statistical Planning and Inference, 140(11), 3003-3012.