Holt-Winters Forecasting: An Alternative Formulation Applied to UK Air Passenger Data

This paper provides a formulation for the additive Holt-Winters forecasting procedure that simplifies both obtaining maximum likelihood estimates of all unknowns, smoothing parameters and initial conditions, and the computation of point forecasts and reliable predictive intervals. The stochastic com...

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Veröffentlicht in:Journal of applied statistics 2007-11, Vol.34 (9), p.1075-1090
Hauptverfasser: Bermúdez, J.D., Segura, J.V., Vercher, E.
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creator Bermúdez, J.D.
Segura, J.V.
Vercher, E.
description This paper provides a formulation for the additive Holt-Winters forecasting procedure that simplifies both obtaining maximum likelihood estimates of all unknowns, smoothing parameters and initial conditions, and the computation of point forecasts and reliable predictive intervals. The stochastic component of the model is introduced by means of additive, uncorrelated, homoscedastic and Normal errors, and then the joint distribution of the data vector, a multivariate Normal distribution, is obtained. In the case where a data transformation was used to improve the fit of the model, cumulative forecasts are obtained here using a Monte-Carlo approximation. This paper describes the method by applying it to the series of monthly total UK air passengers collected by the Civil Aviation Authority, a long time series from 1949 to the present day, and compares the resulting forecasts with those obtained in previous studies.
doi_str_mv 10.1080/02664760701592125
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subjects additive error
Aviation
Exponential smoothing
linear model
Monte Carlo simulation
Monte-Carlo methods
Normal distribution
prediction intervals
Stochastic models
time series forecasting
Weather forecasting
title Holt-Winters Forecasting: An Alternative Formulation Applied to UK Air Passenger Data
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