Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/102951
Title: Bounds and estimators of a basic constant in extreme value theory of gaussian processes
Authors: Shao, Q.-M. 
Keywords: Extremal theorem
Gaussian process
Small ball probability
Issue Date: 1996
Citation: Shao, Q.-M. (1996). Bounds and estimators of a basic constant in extreme value theory of gaussian processes. Statistica Sinica 6 (1) : 245-257. ScholarBank@NUS Repository.
Abstract: Let Hα be the constant in the extremal theorem for Gaussian processes. In this note a lower and upper bound as well as two statistical estimators of Hα are given. Simulation results are also discussed. As a by-product of the proof, a more precise bound on the small ball probability of fractional Brownian motion is obtained.
Source Title: Statistica Sinica
URI: http://scholarbank.nus.edu.sg/handle/10635/102951
ISSN: 10170405
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.