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Forecasting Model for IPTV Service in Korea Using Bootstrap Ridge Regression Analysis

  • Byoung Chul Lee
  • Seho Kee
  • Jae Bum Kim
  • Yun Bae Kim
Part of the Communications in Computer and Information Science book series (CCIS, volume 5)

Abstract

The telecom firms in Korea are taking new step to prepare for the next generation of convergence services, IPTV. In this paper we described our analysis on the effective method for demand forecasting about IPTV broadcasting. We have tried according to 3 types of scenarios based on some aspects of IPTV potential market and made a comparison among the results. The forecasting method used in this paper is the multi generation substitution model with bootstrap ridge regression analysis.

Keywords

Ridge Regression Demand Forecast IPTV Service Bass Model Ridge Residual 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Byoung Chul Lee
    • 1
  • Seho Kee
    • 1
  • Jae Bum Kim
    • 1
  • Yun Bae Kim
    • 1
  1. 1.Dept. of Systems Management EngineeringSyungkyunkwan UniversitySuwonKorea

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