Holt-Winters Forecasting: Some Practical Issues

Chris Chatfield, Mohammad Yar

Journal of the Royal Statistical Society Series D (The Statistician) · 1988 · 333 citations · 32 references

Concepts

TL;DR

The Holt‑Winters forecasting procedure is a variant of exponential smoothing that is simple, generally effective, and especially suited for short‑term sales or demand time‑series forecasts. The study investigates the underlying model assumptions of Holt‑Winters and outlines potential future research directions. The paper discusses practical implementation issues such as normalising seasonal indices, selecting starting values and smoothing parameters, and contrasts automatic versus non‑automatic forecasting approaches with detailed implementation suggestions.

Abstract

The Holt-Winters forecasting procedure is a variant of exponential smoothing which is simple, yet generally works well in practice, and is particularly suitable for producing short-term forecasts for sales or demand time-series data. Some practical problems in implementing the method are discussed, including the normalisation of seasonal indices, the choice of starting values and the choice of smoothing parameters. There is an important distinction between an automatic and a nonautomatic approach to forecasting and detailed suggestions are made for implementing Holt-Winters in both ways. The question as to what underlying model, if any, is assumed by the method is also addressed. Some possible areas for future research are then outlined.

References

32