pith. sign in

arxiv: 1502.03955 · v2 · pith:P2UVXD4Snew · submitted 2015-02-13 · 🧮 math.ST · stat.TH

Nelson-Aalen tail product-limit process and extreme value index estimation under random censorship

classification 🧮 math.ST stat.TH
keywords estimatordistributionextremefunctionindexnelson-aalenprocessproduct-limit
0
0 comments X
read the original abstract

On the basis of Nelson-Aalen nonparametric estimator of the cumulative distribution function, we provide a weak approximation to tail product-limit process for randomly right-censored heavy-tailed data. In this context, a new consistent reduced-bias estimator of the extreme value index is introduced and its asymptotic normality is established only by assuming the second-order regular variation of the underlying distribution function. A simulation study shows that the newly proposed estimator performs better than the existing ones.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.