Approximating symmetrized estimators of scatter via balanced incomplete U-statistics

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.
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Organizations and authors

University of Jyväskylä

Nordhausen Klaus Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Publisher

Springer

Volume

76

Issue

2

Pages

185-207

​Publication forum

51268

​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

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

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