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Forecasting international bandwidth capability
Author(s) -
Madden Gary,
CobleNeal Grant
Publication year - 2005
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.953
Subject(s) - stylized fact , extrapolation , bandwidth (computing) , computer science , the internet , reliability (semiconductor) , econometrics , data mining , telecommunications , statistics , economics , mathematics , power (physics) , physics , quantum mechanics , world wide web , macroeconomics
M‐competition studies provide a set of stylized recommendations to enhance forecast reliability. However, no single method dominates across series, leading to consideration of the relationship between selected data characteristics and the reliability of alternative forecast methods. This study conducts an analysis of predictive accuracy in relation to Internet bandwidth loads. Extrapolation techniques that perform best in M‐competitions perform relatively poorly in predicting Internet bandwidth loads. Such performance is attributed to Internet bandwidth data exhibiting considerably less structure than M‐competition data. Copyright © 2005 John Wiley & Sons, Ltd.