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A seasonal discrete grey forecasting model for fashion retailing
16 references·16 citing·37 second hopsampled
A seasonal discrete grey forecasting model for fashion retailing (2013)A seasonal discrete grey forecasting mode…Grey system model with the fractional order accumulation (2012)Grey system model with the fr…Grey system theory-based models in time series prediction (2009)Grey system theory-based mode…Introductory Econometrics for Finance (2008)Introductory Econometrics for…Discrete grey forecasting model and its optimization (2008)Discrete grey forecasting mod…Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006)Ratio-based lengths of interv…The Benefits of Advance Booking Discount Programs: Model and Analysis (2004)The Benefits of Advance Booki…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Introductory Econometrics for Finance. (2003)Introductory Econometrics for…A comparative study of linear and nonlinear models for aggregate retail sales forecasting (2003)A comparative study of linear…Efficient Supply Contracts for Fashion Goods with Forecast Updating and Two Production Modes (2000)Efficient Supply Contracts fo…Forecasting: Methods and Applications (1999)Forecasting: Methods and Appl…How effective are neural networks at forecasting and prediction? A review and evaluation (1998)How effective are neural netw…Quick Response in Manufacturer-Retailer Channels (1997)Quick Response in Manufacture…Forecasting methods and applications (1993)Forecasting methods and appli…Introduction to Grey system theory (1989)Introduction to Grey system t…Control problems of grey systems (1982)Control problems of grey syst…LSTM with particle Swam optimization for sales forecasting (2022)LSTM with particle Swam optim…A summary of grey forecasting models (2022)A summary of grey forecasting…Predictions and mitigation strategies of PM2.5 concentration in the Yangtze River Delta of China based on a novel nonlinear seasonal grey model (2021)Predictions and mitigation st…Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model (2021)Forecasting the sales and sto…The damping accumulated grey model and its application (2020)The damping accumulated grey …Forecasting the industrial solar energy consumption using a novel seasonal GM(1,1) model with dynamic seasonal adjustment factors (2020)Forecasting the industrial so…Forecasting annual electricity consumption in China by employing a conformable fractional grey model in opposite direction (2020)Forecasting annual electricit…An improved seasonal GM(1,1) model based on the HP filter for forecasting wind power generation in China (2020)An improved seasonal GM(1,1) …Model comparison of GM(1,1) and DGM(1,1) based on Monte-Carlo simulation (2019)Model comparison of GM(1,1) a…Demand forecasting in retail operations for fashionable products: methods, practices, and real case study (2019)Demand forecasting in retail …Application of a new information priority accumulated grey model with time power to predict short-term wind turbine capacity (2019)Application of a new informat…A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers (2019)A novel energy consumption fo…Sales forecasting by combining clustering and machine-learning techniques for computer retailing (2016)Sales forecasting by combinin…A multi-variable grey model with a self-memory component and its application on engineering prediction (2015)A multi-variable grey model w…Optimal modeling and forecasting of the energy consumption and production in China (2014)Optimal modeling and forecast…A survey on retail sales forecasting and prediction in fashion markets (2014)A survey on retail sales fore…The Pricing of Options and Corporate Liabilities (1973)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Econometric Analysis of Cross Section and Panel Data (2001)Oil prices and the stock prices of alternative energy companies (2007)Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis (2011)The Impact of Corporate Social Responsibility Disclosure on Financial Performance: Evidence from the GCC Islamic Banking Sector (2016)Time Series Analysis: Forecasting and Control (1977)Evaluating green supplier development programs with a grey-analytical network process-based methodology (2013)Exploring the sustainability performances of firms using environmental, social, and governance scores (2019)Managing Channel Profits (1983)Backup Agreements in Fashion Buying—The Value of Upstream Flexibility (1997)Perspectives in supply chain risk management (2006)The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Quantitative Models for Supply Chain 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References

  • 1982Control problems of grey systems4,503 cited
  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 1989Introduction to Grey system theory4,260 cited
  • 2008Introductory Econometrics for Finance3,662 cited
  • 1993Forecasting methods and applications2,393 cited
  • 2009Grey system theory-based models in time series prediction788 cited
  • 1999Forecasting: Methods and Applications626 cited
  • 2012Grey system model with the fractional order accumulation622 cited
  • 1997Quick Response in Manufacturer-Retailer Channels523 cited
  • 2000Efficient Supply Contracts for Fashion Goods with Forecast Updating and Two Production Modes517 cited
  • 2008Discrete grey forecasting model and its optimization508 cited
  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation451 cited
  • 2006Ratio-based lengths of intervals to improve fuzzy time series forecasting306 cited
  • 2004The Benefits of Advance Booking Discount Programs: Model and Analysis268 cited
  • 2003A comparative study of linear and nonlinear models for aggregate retail sales forecasting246 cited

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  • 2003Introductory Econometrics for Finance.220 cited
  • Cited by

    • 2019Demand forecasting in retail operations for fashionable products: methods, practices, and real case study131 cited
    • 2020An improved seasonal GM(1,1) model based on the HP filter for forecasting wind power generation in China127 cited
    • 2014Optimal modeling and forecasting of the energy consumption and production in China117 cited
    • 2021Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model115 cited
    • 2020Forecasting the industrial solar energy consumption using a novel seasonal GM(1,1) model with dynamic seasonal adjustment factors108 cited
    • 2019Model comparison of GM(1,1) and DGM(1,1) based on Monte-Carlo simulation96 cited
    • 2020The damping accumulated grey model and its application94 cited
    • 2022LSTM with particle Swam optimization for sales forecasting93 cited
    • 2019Application of a new information priority accumulated grey model with time power to predict short-term wind turbine capacity90 cited
    • 2014A survey on retail sales forecasting and prediction in fashion markets88 cited
    • 2021Predictions and mitigation strategies of PM2.5 concentration in the Yangtze River Delta of China based on a novel nonlinear seasonal grey model82 cited
    • 2019A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers78 cited
    • 2020Forecasting annual electricity consumption in China by employing a conformable fractional grey model in opposite direction77 cited
    • 2022A summary of grey forecasting models72 cited
    • 2015A multi-variable grey model with a self-memory component and its application on engineering prediction72 cited
    • 2016Sales forecasting by combining clustering and machine-learning techniques for computer retailing71 cited