Development of a multifunctional sales response model with the diagnostic aid of artificial neural networks
This paper proposes an approach that models and forecasts sales through a flexible parametric response function (multifunctional), allowing for differentiated behavioural assumptions of the response determinants to be specified, and uses neural network modelling as a re-specification tool for the response model in order to improve forecasting performance. An initial experiment on a sample of sales data demonstrates feasibility and gives comparative insights via alternative model specifications. Copyright © 2005 John Wiley & Sons, Ltd.
Year of publication: |
2005
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Authors: | Bunn, Derek W. ; Pantelidaki, Stefania |
Published in: |
Journal of Forecasting. - John Wiley & Sons, Ltd.. - Vol. 24.2005, 7, p. 505-521
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Publisher: |
John Wiley & Sons, Ltd. |
Saved in:
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