1995Wiley series in probability and statisticsRequires access

Moving Average and Autoregressive Processes

Wayne A. Fuller

Open publisher page 1 citations

Abstract

The prelims comprise: Moving Average Processes Absolutely Sumble Sequences and Infinite Moving Averages An Introduction to Autoregressive Time Series Difference Equations The Second order Autoregressive Time Series Alternative Representations of Autoregressive and Moving Average Processes Autoregressive Moving Average Time Series Vector Processes Prediction The Wold Decomposition Long Memory processes

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What this paper is about

The prelims comprise: Moving Average Processes Absolutely Sumble Sequences and Infinite Moving Averages An Introduction to Autoregressive Time Series Difference Equations The Second order Autoregressive Time Series Alternative Representations of Autoregressive and Moving Average Processes Autoregressive Moving Average Time Series Vector Processes Prediction The Wold Decomposition Long Memory processes

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Available abstract

The prelims comprise: Moving Average Processes Absolutely Sumble Sequences and Infinite Moving Averages An Introduction to Autoregressive Time Series Difference Equations The Second order Autoregressive Time Series Alternative Representations of Autoregressive and Moving Average Processes Autoregressive Moving Average Time Series Vector Processes Prediction The Wold Decomposition Long Memory processes

Key concepts: Autoregressive model, STAR model, SETAR, Series (stratigraphy), Mathematics, Moving average, Autoregressive–moving-average model, Moving-average model

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