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Forecasting intermittent demand by hyperbolic-exponential smoothing
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Forecasting intermittent demand by hyperbolic-exponential smoothing (2014)Forecasting intermittent demand by hyperb…Intermittent demand: Linking forecasting to inventory obsolescence (2011)Intermittent demand: Linking …Forecasting for inventory planning: a 50-year review (2009)Forecasting for inventory pla…On the bias of Croston’s forecasting method (2008)On the bias of Croston’s fore…Forecasting and operational research: a review (2008)Forecasting and operational r…Advantages of the MAD/Mean Ratio over the MAPE (2007)Advantages of the MAD/Mean Ra…The accuracy of a Modified Croston procedure (2006)The accuracy of a Modified Cr…Exponential smoothing: The state of the art—Part II (2006)Exponential smoothing: The st…Another look at measures of forecast accuracy (2006)Another look at measures of f…The accuracy of intermittent demand estimates (2004)The accuracy of intermittent …Inventory control with a modified Croston procedure and Erlang distribution (2003)Inventory control with a modi…Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model (2003)Evaluation of forecasting met…The evaluation of extrapolative forecasting methods (1992)The evaluation of extrapolati…Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Error measures for generalizi…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Applied Economic Forecasting (1967)Applied Economic ForecastingDemand Forecasting Tool For Inventory Control Smart Systems (2021)Demand Forecasting Tool For I…Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)Automatic Time Series Forecasting: The forecast Package for R (2008)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting methods and applications (1993)Forecasting seasonals and trends by exponentially weighted moving averages (2004)Lumpy demand forecasting using neural networks (2007)Forecasting intermittent demand: a comparative study (2008)Intermittent demand forecasts with neural networks (2013)Experience with Forecasting Univariate Time Series and the Combination of Forecasts (1974)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Exponential smoothing: The state of the art (1985)The M2-competition: A real-time judgmentally based forecasting study (1993)The state of macroeconomic forecasting (2002)A new accuracy measure based on bounded relative error for time series forecasting (2017)The M3-Competition: results, conclusions and implications (2000)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)Artificial intelligence applications in supply chain management (2021)Forecasting: theory and practice (2022)An overview of recent literature on spare parts inventories (2002)‘Horses for Courses’ in demand forecasting (2014)Single-hidden layer neural networks for forecasting intermittent demand (2016)An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction (2011)Variable Selection in Time Series Forecasting Using Random Forests (2017)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)A state space framework for automatic forecasting using exponential smoothing methods (2002)Making and Evaluating Point Forecasts (2011)A new metric of absolute percentage error for intermittent demand forecasts (2016)A Survey of Forecast Error Measures (2013)Supply chain forecasting: Theory, practice, their gap and the future (2015)Retail forecasting: Research and practice (2019)Extreme Correlation of International Equity Markets (2001)Forecasting Volatility in Financial Markets: A Review (2003)Introductory Econometrics for Finance (2008)
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References

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  • 2003Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model235 cited
  • 1972Forecasting and Stock Control for Intermittent Demands156 cited
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  • 2008On the bias of Croston’s forecasting method93 cited
  • 2007Advantages of the MAD/Mean Ratio over the MAPE80 cited
  • 2006

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The accuracy of a Modified Croston procedure
69 cited

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