A comparative study of linear and nonlinear models for aggregate retail sales forecasting
- 1 December 2003
- journal article
- Published by Elsevier in International Journal of Production Economics
- Vol. 86 (3) , 217-231
- https://doi.org/10.1016/s0925-5273(03)00068-9
Abstract
No abstract availableThis publication has 30 references indexed in Scilit:
- A comparative study of medium-weather-dependent load forecasting using enhanced artificial/fuzzy neural network and statistical techniquesNeurocomputing, 1998
- New Capabilities and Methods of the X-12-ARIMA Seasonal-Adjustment ProgramJournal of Business & Economic Statistics, 1998
- Forecasting with artificial neural networks:International Journal of Forecasting, 1998
- Recognizing changing seasonal patterns using artificial neural networksJournal of Econometrics, 1997
- Is Seasonal Adjustment a Linear or Nonlinear Data-Filtering Process?Journal of Business & Economic Statistics, 1996
- The Application of Neural Networks and a Qualitative Response Model to the Auditor's Going Concern Uncertainty Decision*Decision Sciences, 1995
- General exponential smoothing and the equivalent arma processJournal of Forecasting, 1984
- The accuracy of extrapolation (time series) methods: Results of a forecasting competitionJournal of Forecasting, 1982
- Short-term Forecasting and Seasonal AdjustmentJournal of the American Statistical Association, 1979
- A Cross-Spectral Analysis of Retail Inventories and SalesThe Journal of Business, 1975