Approximation of the Hill estimator process
An approximation result for a vector of Hill estimators - in the following addressed as Hill process - is proven. It is shown that the Hill process can be approximated on a suitable probability space by a Wiener process and a deterministic bias term. Moreover, the accuracy of the approximation is, roughly speaking, given by the rate of convergence of a certain term in the Karamata representation of the quantile function.
Year of publication: |
1998
|
---|---|
Authors: | Kaufmann, E. ; Reiss, R. -D. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 39.1998, 4, p. 347-354
|
Publisher: |
Elsevier |
Keywords: | Hill estimator Karamata representation Wiener process approximation |
Saved in:
Saved in favorites
Similar items by person
-
On conditional distributions of nearest neighbors
Kaufmann, E., (1992)
-
Reiss, R. -D., (1981)
-
Strong convergence of multivariate point processes of exceedances
Kaufmann, E., (1993)
- More ...