An edgeworth expansion for U-statistics with weakly dependent observations

An edgeworth expansion for U-statistics with weakly dependent observations

Statistica Sinica

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Bibliographic Details
Main Author: Loh, W.-L.
Other Authors: MATHEMATICS
Format: Article
Published: 2014
Subjects:
Edgeworth expansion
U-statistics
Weak dependence
Online Access:http://scholarbank.nus.edu.sg/handle/10635/102826
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1028262015-01-10T17:11:48Z An edgeworth expansion for U-statistics with weakly dependent observations Loh, W.-L. MATHEMATICS Edgeworth expansion U-statistics Weak dependence Statistica Sinica 6 1 171-186 2014-10-28T02:30:08Z 2014-10-28T02:30:08Z 1996 Article Loh, W.-L. (1996). An edgeworth expansion for U-statistics with weakly dependent observations. Statistica Sinica 6 (1) : 171-186. ScholarBank@NUS Repository. 10170405 http://scholarbank.nus.edu.sg/handle/10635/102826 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Edgeworth expansion
U-statistics
Weak dependence
spellingShingle Edgeworth expansion
U-statistics
Weak dependence
Loh, W.-L.
An edgeworth expansion for U-statistics with weakly dependent observations
description Statistica Sinica
author2 MATHEMATICS
author_facet MATHEMATICS
Loh, W.-L.
format Article
author Loh, W.-L.
author_sort Loh, W.-L.
title An edgeworth expansion for U-statistics with weakly dependent observations
title_short An edgeworth expansion for U-statistics with weakly dependent observations
title_full An edgeworth expansion for U-statistics with weakly dependent observations
title_fullStr An edgeworth expansion for U-statistics with weakly dependent observations
title_full_unstemmed An edgeworth expansion for U-statistics with weakly dependent observations
title_sort edgeworth expansion for u-statistics with weakly dependent observations
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/102826
_version_ 1681092808938618880

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