A METHODOLOGY OF FORECASTING DEMANDS OF THE COMMUNICATION TRAFFIC

Masayuki Higuma, Masao J.Matsumoto

2005

Abstract

The Traffic demand of the communication has strong relations to the gross domestic product (GDP). Some statistical models are well known for the demand forecast. As such models, there are the Linear regression Model (LM) and the Auto Regression model (AR). However the LM cannot apply analyzing a traffic demand, because its relations between a GDP and a traffic demand have the non linear shape. Also the AR has problems ,which cannot reflect the impact of social and economical events ,and have big forecasting errors, because a traffic demand has a trend component. Therefore this study considers new a methodology of forecasting demands of the communication traffic, which has high quality by resolving the above problems, by modeling and evaluating social and economical events.

Paper Citation

in Harvard Style

Higuma M. and J.Matsumoto M. (2005). A METHODOLOGY OF FORECASTING DEMANDS OF THE COMMUNICATION TRAFFIC . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 972-8865-19-8, pages 482-485. DOI: 10.5220/0002528104820485

in Bibtex Style

@conference{iceis05,
author={Masayuki Higuma and Masao J.Matsumoto},
title={A METHODOLOGY OF FORECASTING DEMANDS OF THE COMMUNICATION TRAFFIC},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2005},
pages={482-485},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002528104820485},
isbn={972-8865-19-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - A METHODOLOGY OF FORECASTING DEMANDS OF THE COMMUNICATION TRAFFIC
SN - 972-8865-19-8
AU - Higuma M.
AU - J.Matsumoto M.
PY - 2005
SP - 482
EP - 485
DO - 10.5220/0002528104820485