ADAPTIVE FILTERING

AN INTEGRATED AUTOREGRESSIVE/MOVING AVERAGE FILTER FOR TIME SERIES FORECASTING.

Spyros Makridakis, Steven C. Wheelwright

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

This paper extends the applicability of a heuristic filtering technique, adaptive filtering, by dealing with a number of practical considerations in time series forecasting. These are problems that have been raised by other researchers examining this technique and by practitioners using it for time series analysis. These modifications make adaptive filtering much more comparable to the Box-Jenkins methodology for autoregressive/moving average processes. A specific application of adaptive filtering is provided.

Original languageEnglish
Pages (from-to)425-437
Number of pages13
JournalOperational Research Quarterly
Volume28
Issue number2
DOIs
Publication statusPublished - 1 Jan 1977

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Adaptive filtering
Time series
Time series analysis
Time series forecasting
Integrated
Filter
Autoregressive moving average

Cite this

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ADAPTIVE FILTERING : AN INTEGRATED AUTOREGRESSIVE/MOVING AVERAGE FILTER FOR TIME SERIES FORECASTING. / Makridakis, Spyros; Wheelwright, Steven C.

In: Operational Research Quarterly, Vol. 28, No. 2, 01.01.1977, p. 425-437.

Research output: Contribution to journalArticle

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