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Convergence of Sample Autocorrelation of Long-Range Dependent Traffic
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-16
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We depict our work on a fundamental issue in the theory of long-range dependent traffic in the aspect of the convergence of sample autocorrelation function (ACF) of real traffic.
The present results suggest that the sample ACF of traffic is convergent.
In addition, we show that the sample size has considerable effects in estimating the sample ACF of traffic.
More precisely, a sample ACF of traffic tends to be smoother when the sample size increases.
American Psychological Association (APA)
Li, Ming& Zhao, Wei. 2013. Convergence of Sample Autocorrelation of Long-Range Dependent Traffic. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1010505
Modern Language Association (MLA)
Li, Ming& Zhao, Wei. Convergence of Sample Autocorrelation of Long-Range Dependent Traffic. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1010505
American Medical Association (AMA)
Li, Ming& Zhao, Wei. Convergence of Sample Autocorrelation of Long-Range Dependent Traffic. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1010505
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010505