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Author:Meade, N.
Islam, T.
Title:Technological forecasting - model selection model stability, and combining models
Journal:Management Science
1998 : AUG, VOL. 44:8, p. 1115-1130
Index terms:MANAGEMENT
TECHNOLOGICAL FORECASTING
MODELS
Language:eng
Abstract:The paper identifies 29 models that the literature suggests are appropriate for technological forecasting. These models are divided into three classes according to the timing of the point of inflexion in the innovation or substitution process. faced with a given data set and such a choice, the issue of model selection needs to be addressed. Evidence used to aid model seletion is drawn from measures of model fit and model stability.
SCIMA record nr: 184422
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