EXAMINATION OF THE USE OF ADPATIVE FILTERING IN FORECASTING.

Steven C. Wheelwright, Spyros Makridakis

    Research output: Contribution to journalArticlepeer-review

    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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