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Modelling and forecasting the diffusion of innovation u a 25-year review

Article Abstract:

Developments of modelling in forecasting accuracy and forecasting diffusion of innovation are discussed. Main applications such as telecommunication forecasting are discussed. Future directions of research, forecasting with multinomial models, multi generation models are also discussed.

Author: Islam, Towhidul, Meade, Nigel
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2006
United Kingdom, History, Prediction theory

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A note on the Robust Trend and ARARMA methodologies used in the M3 Competition

Article Abstract:

The Robust Trend and the auto-regressive auto-regressive moving average (ARARMA) were the methods of forecasting used in the M3 Competition. The former utilized features of some telecommunications time-series, while the latter used a more general time-series.

Author: Meade, Nigel
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2000
United States

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The theta model: a decomposition approach to forecasting

Article Abstract:

The theta model is a univariate forecasting method based on modifying the time-series (Theta-lines) through a coefficient (Theta) resulting in an improved forecasting of both long-term and short-term data approximation .

Author: Assimakopoulos, V., Nikolopoulos, K.
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2000

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Subjects list: Analysis, Statistical Data Included, Methods, Forecasting, Business forecasting, Time-series analysis, Time series analysis
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