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General exponential smoothing and the equivalent arma process
6 references·15 citing·39 second hop
General exponential smoothing and the equivalent arma process (1984)General exponential smoothing and the equ…The Holt-Winters Forecasting Procedure (1978)The Holt-Winters Forecasting …Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Forecasting and time series analysis (1977)Forecasting and time series a…Experience with Forecasting Univariate Time Series and the Combination of Forecasts (1974)Experience with Forecasting U…Smoothing, Forecasting, and Prediction of Discrete Time Series (1965)Smoothing, Forecasting, and P…Forecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting Sales by Exponent…Talent Demand Forecasting with Attentive Neural Sequential Model (2021)Talent Demand Forecasting wit…Multi-factor Based Stock Price Prediction Using Hybrid Neural Networks with Attention Mechanism (2019)Multi-factor Based Stock Pric…Oil-Price Forecasting Based on Various Univariate Time-Series Models (2016)Oil-Price Forecasting Based o…Applicability of ARIMA Models in Wholesale Vegetable Market (2013)Applicability of ARIMA Models…Improving inventory performance with clustering based demand forecasts (2012)Improving inventory performan…Integrating Independent Component Analysis and Principal Component Analysis with Neural Network to Predict Chinese Stock Market (2011)Integrating Independent Compo…Time Series Analyses of UK Outbound Travel by Air (2006)Time Series Analyses of UK Ou…An ARIMA supply chain model with a generalized ordering policy (2006)An ARIMA supply chain model w…Forecasting daily time series using periodic unobserved components time series models (2005)Forecasting daily time series…A Selection Strategy for Modelling UK Tourism Flows by Air to European Destinations (2005)A Selection Strategy for Mode…25 Years of Iif Time Series Forecasting: A Selective Review (2005)25 Years of Iif Time Series F…A model selection strategy for time series with increasing seasonal variation (1998)A model selection strategy fo…Model Identification in Exponential Smoothing (1988)Model Identification in Expon…A Simple Method of Computing Prediction Intervals for Time Series Forecasts (1988)A Simple Method of Computing …Forecast Functions Implied by Autoregressive Integrated Moving Average Models and Other Related Forecast Procedures (1986)Forecast Functions Implied by…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Regional unemployment forecasts with spatial interdependencies (2009)Forecasting intermittent demand by hyperbolic-exponential smoothing (2014)Time Series Data Modeling Using Advanced Machine Learning and AutoML (2022)A unified view of statistical forecasting procedures (1984)Holt-Winters Forecasting: Some Practical Issues (1988)Forecasting Economic Time Series (2000)Exponential smoothing model selection for forecasting (2005)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting Trends in Time Series (1985)Prediction intervals for multiplicative Holt-Winters (1991)Prediction intervals for growth curve forecasts (1995)A Quantile Regression Approach to Generating Prediction Intervals (1999)Forecasting and Time Series: An Applied Approach (1994)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning (2009)Forecast of individual customer’s demand from a large and noisy dataset (2018)Demand forecasting at retail stage for selected vegetables: a performance analysis (2019)Evolving Deep CNN-LSTMs for Inventory Time Series Prediction (2019)Statistical Methods for Forecasting. (1984)An MSE statistic for comparing forecast accuracy across series (1990)How should additive Holt–Winters estimates be corrected? (1998)Demand forecasting of perishable farm products using support vector machine (2011)The Combination of Forecasts (1969)Bayesian Forecasting (1976)Tests for Forecast Encompassing (1998)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Exponential smoothing: The state of the art (1985)A Single-Item Inventory Model for a Nonstationary Demand Process (1999)The impact of exponential smoothing forecasts on the bullwhip effect (2000)25 years of time series forecasting (2006)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)A pragmatic view of accuracy measurement in forecasting (1986)A dynamic artificial neural network model for forecasting time series events (2004)Sales forecasts in clothing industry: The key success factor of the supply chain management (2010)
this work references cited by second hop

References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1960Forecasting Sales by Exponentially Weighted Moving Averages2,117 cited
  • 1974Experience with Forecasting Univariate Time Series and the Combination of Forecasts849 cited
  • 1977Forecasting and time series analysis446 cited
  • 1978The Holt-Winters Forecasting Procedure423 cited
  • 1965Smoothing, Forecasting, and Prediction of Discrete Time Series264 cited

Cited by

  • 1988A Simple Method of Computing Prediction Intervals for Time Series Forecasts72 cited
  • 1986Forecast Functions Implied by Autoregressive Integrated Moving Average Models and Other Related Forecast Procedures63 cited
  • 200525 Years of Iif Time Series Forecasting: A Selective Review61 cited
  • 2012Improving inventory performance with clustering based demand forecasts60 cited
  • 1988Model Identification in Exponential Smoothing59 cited
  • 2005Forecasting daily time series using periodic unobserved components time series models58 cited
  • 2013Applicability of ARIMA Models in Wholesale Vegetable Market55 cited
  • 2011Integrating Independent Component Analysis and Principal Component Analysis with Neural Network to Predict Chinese Stock Market54 cited

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2005
A Selection Strategy for Modelling UK Tourism Flows by Air to European Destinations
44 cited
  • 1998A model selection strategy for time series with increasing seasonal variation43 cited
  • 2016Oil-Price Forecasting Based on Various Univariate Time-Series Models41 cited
  • 2019Multi-factor Based Stock Price Prediction Using Hybrid Neural Networks with Attention Mechanism37 cited
  • 2006Time Series Analyses of UK Outbound Travel by Air37 cited
  • 2021Talent Demand Forecasting with Attentive Neural Sequential Model20 cited
  • 2006An ARIMA supply chain model with a generalized ordering policy18 cited