Parameter estimation in smooth empirical processes
In this paper we derive almost sure representation theorems and limit distribution results for the solution of a general parametric equation of integral type evaluated at the empirical distribution function. In particular, these are applied to R-, L- and (scale invariant) M-estimates as well as CvM minimum distance estimates. Also some new types of estimates (of location) are proposed.
Year of publication: |
1986
|
---|---|
Authors: | Stute, Winfried |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 22.1986, 2, p. 223-244
|
Publisher: |
Elsevier |
Subject: | empirical processes random equation L- | M- and R-estimates minimum distance estimates Riesz derivatives a.s. representations limit distributions |
Saved in:
Saved in favorites
Similar items by person
-
Last passage times of M-estimators
Stute, Winfried, (1983)
-
Residual analysis for ARCH(p)-time series
Stute, Winfried, (2001)
-
A SHOT NOISE MODEL FOR FINANCIAL ASSETS
ALTMANN, TIMO, (2008)
- More ...