EXAMINATION OF THE USE OF ADPATIVE FILTERING IN FORECASTING.

Steven C. Wheelwright, Spyros Makridakis

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Adaptive filtering is a technique for preparing short- to medium-term forecasts based on weighting of historical observations, in a similar way to moving average and exponential smoothing. However, adaptive filtering, as it has been developed in electrical engineering, attempts to distinguish a signal pattern from random noise, rather than simply smoothing th noise of past data. This paper reviews the technique of adaptive filtering and investigates its applications and limitations for the forecasting practitioner. This is done by looking at the performance of adaptive filtering in forecasting a number of time series and by comparing it with other forecasting techniques.

Original languageEnglish
Pages (from-to)55-64
Number of pages10
JournalOperational Research Quarterly
Volume24
Issue number1
Publication statusPublished - 1 Jan 1973

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Adaptive filtering
Electrical engineering
Time series

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EXAMINATION OF THE USE OF ADPATIVE FILTERING IN FORECASTING. / Wheelwright, Steven C.; Makridakis, Spyros.

In: Operational Research Quarterly, Vol. 24, No. 1, 01.01.1973, p. 55-64.

Research output: Contribution to journalArticle

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