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

Authors: Byoung Chul Lee, Seho Kee, Jae Bum Kim, Yun Bae Kim,

Publish Date: 2007/10/10
Volume: , Issue:, Pages: 95-102
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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.



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