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Forecasting aggregate retail sales: · Study

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ArticleForecasting aggregate retail sales:

Ilan Alon2001

Article2001

Forecasting aggregate retail sales:

Ilan Alon · Min Qi · Robert J. Sadowski

258 citations·0/0 files stored·Journal of Retailing and Consumer Services

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Forecasting Techniques and Applications Stock Market Forecasting Methods Time Series Analysis and Forecasting

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References

1977Time Series Analysis: Forecasting and Control 1994Comparing Predictive Accuracy 1998Forecasting with artificial neural networks:1991Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation 1960Forecasting Sales by Exponentially Weighted Moving Averages 1996Neural Network Models for Time Series Forecasts 1991Time series forecasting using neural networks vs. Box- Jenkins methodology 1972Macroeconomic Theory and Policy.

Cited by

2003A comparative study of linear and nonlinear models for aggregate retail sales forecasting 2015Performance of state space and ARIMA models for consumer retail sales forecasting 2022Time-series forecasting of seasonal items sales using machine learning – A comparative analysis 2020Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail 2020Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion

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Details

Year2001

Typearticle

Published2001-05-01

VenueJournal of Retailing and Consumer Services

ISSN-L0969-6989

Languageen

Citations258

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/s0969-6989(00)00011-4

openalex_workW2094515728

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2010

A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm

2020Daily retail demand forecasting using machine learning with emphasis on calendric special days

2015Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information