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The algebraic structure of moving average time processes 

Author: O.D. Anderson a
Affiliation:   a Department of Mathematics, Nottingham University, London, England
DOI: 10.1080/02331887808801423
Publication Frequency: 6 issues per year
Published in: journal Statistics, Volume 9, Issue 2 1978 , pages 211 - 216
Formats available: PDF (English)
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Abstract



The class of moving average processes of order q is shown to be both a vector space of dimension q+ 1 and an integral domain, under appropriate compositions; and some associated implications for practical time series analysis are discussed. It is also shown that any particular class of uncorrelated mixed autoregressive-moving average processes of order (p=0 or 1q≧0) is closed under multiplication.
Keywords: Autocorrelation; Autocovariance matrices; Decomposition of Processes; Integral Domain; Mixed Processes; Moving Average Processes; Seasonal Models; Time Series Analysis; Transformation of Processes; Vector Space
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