References
- Baehr, M. & Williams, G. (1968) Prediction of sales success from factorially determined dimensions of personal background data. Journal of Applied Psychology 52(2), pp 98.
- Box, G., Jenkins, G., & Reinsel, G. (2013) Time Series Analysis: Forecasting and Control. John Wiley & Sons.
- Cao, L. (2003) Support vector machines experts for time series forecasting. Neurocomputing 51, pp 321–339.
- Gao, M., Xu, W., Fu, H., Wang, M. & Liang, X. (2014). A novel forecasting method for large-scale sales prediction using extreme learning machine. The Seventh International Joint Conference on Computational Sciences and Optimization, pp 602–606.
- Hill, T., Marquez, L., O'Connor, M., et al. (1994) Artificial neural network models for forecasting and decision making. International Journal of Forecasting 10(1), pp 5–15.
- Hogarth, R. (1975) Cognitive processes and the assessment of subjective probability distributions. Journal of the American statistical Association 70(350), pp 271–289.
- Huang, S. & Shih, K. (2003) Short-term load forecasting via ARMA model identification including non-Gaussian process considerations. IEEE Transactions on Power Systems 18(2), pp 673–679.
- Kleinbaum, D., Kupper, L., Nizam, A., et al. (2013) Applied Regression Analysis and Other Multivariable Methods. Cengage Learning.
- Kuo, R. & Xue, K. (1998) A decision support system for sales forecasting through fuzzy neural networks with asymmetric fuzzy weights. Decision Support Systems 24(2), pp 105–126.
- Lee, S. & Fambro, D. (1999) Application of subset autoregressive integrated moving average model for short-term freeway traffic volume forecasting. Transportation Research Record: Journal of the Transportation Research Board 1678(1), pp 179–188.
- Linstone, H. & Turoff, M. (Eds.)(1975) The Delphi method: Techniques and applications.
- McElroy, M. & Burmeister, E. (1988) Arbitrage Pricing Theory as a Restricted Nonlinear Multivariate Regression Model Iterated Nonlinear Seemingly Unrelated Regression Estimates. Journal of Business & Economic Statistics 6(1), pp 29–42.
- Schroeder, G., Klim, A., Heinz, G., et al. (2010) System for predicting sales lift and profit of a product based on historical sales information: U.S. Patent 7,689,456.
- Tay, F. & Cao, L. (2001) Application of support vector machines in financial time series forecasting. Omega 29(4), pp 309–317.
- Tremblay, C., Grosskopf, S., & Yang, K. (2010) Brainstorm: Occupational choice, bipolar illness and creativity. Economics & Human Biology 8(2), pp 233–241.
- Yuan, H., Xu, W & Wang, M. (2014) Can online user behavior improve the performance of sales prediction in E-commerce? IEEE International Conference on Systems, Man, and Cybernetics, pp 2377–2382.