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http://dx.doi.org/10.5351/KJAS.2007.20.2.219

Time Series Models for Performance Evaluation of Network Traffic Forecasting  

Kim, S. (Department of Statistics, Chung-Ang University)
Publication Information
The Korean Journal of Applied Statistics / v.20, no.2, 2007 , pp. 219-227 More about this Journal
Abstract
The time series models have been used to analyze and predict the network traffic. In this paper, we compare the performance of the time series models for prediction of network traffic. The feasibility study showed that a class of nonlinear time series models can be outperformed than the linear time series models to predict the network traffic.
Keywords
Time series models; network traffic; forecasting;
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Times Cited By KSCI : 1  (Citation Analysis)
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