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Comparaison de la prédictivité d'un réseau de neurones à rétropropagation avec celles des méthodes de régression linéaire, logistique et AID pour le calcul des scores en marketing direct

Author

Listed:
  • Pierre Desmet

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique, ESSEC Business School)

Abstract

In comparison with other statistical methods (MCO, logistic regression, disciminant analysis, AID), the advantages of a neural network with retropropagation are numerous and well known (non linear effects, distribution free variables, low sensibility to outlyers or missing variables). However, implementation and efficiency have not yet received a strong interest. The paper reviews comparative analyses and presents the results obtained in predicting a behavior in Fund raising.

Suggested Citation

  • Pierre Desmet, 1996. "Comparaison de la prédictivité d'un réseau de neurones à rétropropagation avec celles des méthodes de régression linéaire, logistique et AID pour le calcul des scores en marketing direct," Post-Print halshs-00143454, HAL.
    • Handle: RePEc:hal:journl:halshs-00143454
    as

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