UM
Residential Collegefalse
Status已發表Published
Variance bound of ACF estimation of one block of fGn with LRD
Li, Ming1; Zhao, Wei2
2018-10-20
Source PublicationMathematical Problems in Engineering
ISSN1024123X
Volume2010
Abstract

This paper discusses the estimation of autocorrelation function (ACF) of fractional Gaussian noise (fGn) with long-range dependence (LRD). A variance bound of ACF estimation of one block of fGn with LRD for a given value of the Hurst parameter (H) is given. The present bound provides a guideline to require the block size to guarantee that the variance of ACF estimation of one block of fGn with LRD for a given H value does not exceed the predetermined variance bound regardless of the start point of the block. In addition, the present result implies that the error of ACF estimation of a block of fGn with LRD depends only on the number of data points within the sample and not on the actual sample length in time. For a given block size, the error is found to be larger for fGn with stronger LRD than that with weaker LRD. Copyright © 2010.

DOI10.1155/2010/560429
Language英語English
WOS IDWOS:000275115800001
The Source to ArticleEngineering Village
Scopus ID2-s2.0-77953503777
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.School of Information Science and Technology, East China Normal University, No. 500, Dong-Chuan Road, Shanghai 200241, China;
2.University of Macau, Avenue Padre Tomás Pereira, Taipa, Macau, China
Recommended Citation
GB/T 7714
Li, Ming,Zhao, Wei. Variance bound of ACF estimation of one block of fGn with LRD[J]. Mathematical Problems in Engineering, 2018, 2010.
APA Li, Ming., & Zhao, Wei (2018). Variance bound of ACF estimation of one block of fGn with LRD. Mathematical Problems in Engineering, 2010.
MLA Li, Ming,et al."Variance bound of ACF estimation of one block of fGn with LRD".Mathematical Problems in Engineering 2010(2018).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Ming]'s Articles
[Zhao, Wei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Ming]'s Articles
[Zhao, Wei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Ming]'s Articles
[Zhao, Wei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.