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Market share forecasting: An empirical comparison of artificial neural networks and multinomial logit model

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References

1983Limited-dependent and qualitative variables in econometrics13,257 cited
1993Forecasting methods and applications2,393 cited
1982Variety Seeking Behavior: An Interdisciplinary Review1,002 cited
1984Forecasting: Methods and Applications636 cited
1983Limited-Dependent and Qualitative Variables in Econometrics446 cited
1996Effect of Brand Loyalty on Advertising and Trade Promotions: A Game Theoretic Analysis with Empirical Evidence168 cited

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1998

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