作者: Nigel Meade
DOI: 10.1016/0040-1625(89)90030-9
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摘要: Abstract A basic framework for a stochastic substitution model is developed. The explicitly considers the number of decision makers responsible process, and volume usage old new technology. parameters are adaptively estimated using extended Kalman filter. This approach contrasted with logistic differential equation approach, widespread in literature, where only proportion substituted modelled. shown to produce considerable improvement forecasting accuracy.