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Holt–Winters Forecasting: An Alternative Formulation Applied to UK Air Passenger Data
12 references·5 citing·25 second hop
Holt–Winters Forecasting: An Alternative Formulation Applied to UK Air Passenger Data (2007)Holt–Winters Forecasting: An Alternative …A state space framework for automatic forecasting using exponential smoothing methods (2002)A state space framework for a…Long lead-time forecasting of UK air passengers by Holt–Winters methods with damped trend (2001)Long lead-time forecasting of…Forecasting models and prediction intervals for the multiplicative Holt–Winters method (2001)Forecasting models and predic…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …Forecasting methods and applications (1993)Forecasting methods and appli…Prediction intervals for the Holt-Winters forecasting procedure (1990)Prediction intervals for the …Holt-Winters Forecasting: Some Practical Issues (1988)Holt-Winters Forecasting: Som…Forecasting Trends in Time Series (1985)Forecasting Trends in Time Se…Exponential smoothing: The state of the art (1985)Exponential smoothing: The st…Forecasting: Methods and Applications. (1979)Forecasting: Methods and Appl…Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Smoothing, Forecasting and Pr…Forecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting Sales by Exponent…Systematic review of passenger demand forecasting in aviation industry (2023)Systematic review of passenge…Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study (2023)Ensemble learning for demand …Forecasting Air Passenger Traffic by Support Vector Machines with Ensemble Empirical Mode Decomposition and Slope‐Based Method (2012)Forecasting Air Passenger Tra…Forecasting correlated time series with exponential smoothing models (2010)Forecasting correlated time s…Bayesian forecasting with the Holt–Winters model (2009)Bayesian forecasting with the…Time Series Analysis, Forecasting, and Control (1995)Forecasting Economic Time Series (2000)A New Look at Models For Exponential Smoothing (2001)Exponential smoothing with a damped multiplicative trend (2003)Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey (2021)Combining forecasts: A review and annotated bibliography (1989)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)Forecasting for inventory control with exponential smoothing (2002)Prediction intervals for exponential smoothing using two new classes of state space models (2005)Time Series Analysis: Forecasting and Control (1977)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)A new metric of absolute percentage error for intermittent demand forecasts (2016)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Low frequency filtering and real business cycles (1993)An overview of methods for determining OWA weights (2005)Exponential smoothing: The state of the art—Part II (2006)World Soybean Production: Area Harvested, Yield, and Long-Term Projections (2009)Achieving competitive advantage through implementing a replicable management standard: Installing and using ISO 9000 (2005)Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions (2006)Robust forecasting with exponential and Holt–Winters smoothing (2009)
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References

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  • 1960Forecasting Sales by Exponentially Weighted Moving Averages2,117 cited
  • 2000The M3-Competition: results, conclusions and implications1,700 cited
  • 1985Exponential smoothing: The state of the art1,461 cited
  • 1979Forecasting: Methods and Applications.1,237 cited
  • 2002A state space framework for automatic forecasting using exponential smoothing methods1,074 cited
  • 1964Smoothing, Forecasting and Prediction of Discrete Time Series.968 cited
  • 1985Forecasting Trends in Time Series399 cited
  • 1988Holt-Winters Forecasting: Some Practical Issues330 cited
  • 2001Forecasting models and prediction intervals for the multiplicative Holt–Winters method126 cited
  • 2001Long lead-time forecasting of UK air passengers by Holt–Winters methods with damped trend106 cited
  • 1990Prediction intervals for the Holt-Winters forecasting procedure92 cited

Cited by

  • 2023Systematic review of passenger demand forecasting in aviation industry56 cited
  • 2010Forecasting correlated time series with exponential smoothing models56 cited
  • 2012Forecasting Air Passenger Traffic by Support Vector Machines with Ensemble Empirical Mode Decomposition and Slope‐Based Method

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52 cited
  • 2023Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study37 cited
  • 2009Bayesian forecasting with the Holt–Winters model35 cited