Approximating symmetrized estimators of scatter via balanced incomplete U-statistics
Year of publication
2024
Authors
Dümbgen, Lutz; Nordhausen, Klaus
Abstract
We derive limiting distributions of symmetrized estimators of scatter. Instead of considering all n(n−1)/2 pairs of the n observations, we only use nd suitably chosen pairs, where d≥1 is substantially smaller than n. It turns out that the resulting estimators are asymptotically equivalent to the original one whenever d=d(n)→∞ at arbitrarily slow speed. We also investigate the asymptotic properties for arbitrary fixed d. These considerations and numerical examples indicate that for practical purposes, moderate fixed values of d between 10 and 20 yield already estimators which are computationally feasible and rather close to the original ones.
Show moreOrganizations and authors
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Publisher
Volume
76
Issue
2
Pages
185-207
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
No
Self-archived
Yes
Other information
Fields of science
Statistics and probability
Keywords
approksimointi; estimointi; jakaumat; monimuuttujamenetelmät
Publication country
Germany
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
No
DOI
10.1007/s10463-023-00879-1
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes