English

Bi-$s^*$-concave distributions

Statistics Theory 2017-05-12 v2 Statistics Theory

Abstract

We introduce a new shape-constrained class of distribution functions on R, the bi-ss^*-concave class. In parallel to results of D\"umbgen, Kolesnyk, and Wilke (2017) for what they called the class of bi-log-concave distribution functions, we show that every s-concave density f has a bi-ss^*-concave distribution function FF and that every bi-ss^*-concave distribution function satisfies γ(F)1/(1+s)\gamma (F) \le 1/(1+s) where finiteness of γ(F)supxF(x)(1F(x))f(x)f2(x), \gamma (F) \equiv \sup_{x} F(x) (1-F(x)) \frac{| f' (x)|}{f^2 (x)}, the Cs\"org\H{o} - R\'ev\'esz constant of F, plays an important role in the theory of quantile processes on RR.

Keywords

Cite

@article{arxiv.1705.00252,
  title  = {Bi-$s^*$-concave distributions},
  author = {Nilanjana Laha and Jon A. Wellner},
  journal= {arXiv preprint arXiv:1705.00252},
  year   = {2017}
}

Comments

30 pages, 11 figures

R2 v1 2026-06-22T19:32:02.791Z