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The Application of Forecasting Sales of Services to Increase Business Competitiveness
16 references·0 citing·30 second hop
The Application of Forecasting Sales of Services to Increase Business Competitiveness (2020)The Application of Forecasting Sales of S…The M4 Competition: 100,000 time series and 61 forecasting methods (2019)The M4 Competition: 100,000 t…The M4 Competition: Results, findings, conclusion and way forward (2018)The M4 Competition: Results, …Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation (2016)Bagging exponential smoothing…Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)Forecasting Time Series With …Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction (2011)Advances in forecasting with …Forecasting with Exponential Smoothing : The State Space Approach (2008)Forecasting with Exponential …Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Another look at measures of forecast accuracy (2006)Another look at measures of f…Forecasting seasonals and trends by exponentially weighted moving averages (2004)Forecasting seasonals and tre…Exponential smoothing with a damped multiplicative trend (2003)Exponential smoothing with a …Principles of forecasting : a handbook for researchers and practitioners (2001)Principles of forecasting : a…Forecasting aggregate retail sales: (2001)Forecasting aggregate retail …The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Statistical Forecasting for Inventory Control. (1960)Statistical Forecasting for I…Forecasting principles and practiceForecasting principles and pr…Combining forecasts: A review and annotated bibliography (1989)25 years of time series forecasting (2006)Time Series Analysis: Forecasting and Control (1977)Forecasting Destination Weekly Hotel Occupancy with Big Data (2016)Structural combination of seasonal exponential smoothing forecasts applied to load forecasting (2018)Forecasting: theory and practice (2022)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Construct validity in psychological tests. (1955)Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis, Forecasting, and Control (1995)Judgmental forecasting: A review of progress over the last 25years (2006)Consensus measurement in Delphi studies (2012)Time Series Analysis Forecasting and Control. (1971)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Forecast combinations: An over 50-year review (2022)M5 accuracy competition: Results, findings, and conclusions (2022)The Savings Investment and Valuation of a Corporation (1962)Experience with Forecasting Univariate Time Series and the Combination of Forecasts (1974)ARMA Models and the Box-Jenkins Methodology (1997)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Exponential smoothing: The state of the art—Part II (2006)A new metric of absolute percentage error for intermittent demand forecasts (2016)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Exponential smoothing: The state of the art (1985)Using daily stock returns (1985)Generalized autoregressive conditional heteroskedasticity (1986)
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References

  • 1977Time Series Analysis: Forecasting and Control6,446 cited
  • 2006Another look at measures of forecast accuracy5,736 cited
  • n.d.Forecasting principles and practice4,364 cited
  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
  • 2004Forecasting seasonals and trends by exponentially weighted moving averages1,732 cited
  • 2000The M3-Competition: results, conclusions and implications1,700 cited
  • 2011Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing1,055 cited
  • 2001Principles of forecasting : a handbook for researchers and practitioners1,045 cited
  • 2019The M4 Competition: 100,000 time series and 61 forecasting methods990 cited
  • 1960Statistical Forecasting for Inventory Control.831 cited
  • 2008Forecasting with Exponential Smoothing : The State Space Approach818 cited
  • 2018The M4 Competition: Results, findings, conclusion and way forward634 cited
  • 2016Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation330 cited
  • 2003Exponential smoothing with a damped multiplicative trend294 cited
  • 2011Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction

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272 cited
  • 2001Forecasting aggregate retail sales:258 cited
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