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A single series representation of multiple independent ARMA processes
Journal article   Open access   Peer reviewed

A single series representation of multiple independent ARMA processes

R.S. Bowden and B.R. Clarke
Journal of Time Series Analysis, Vol.33(2), pp.304-311
2012
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Abstract

This article shows that multiple independent time series from the same ARMA process can be represented by a single univariate ARMA time series through an interleaving of the original series. Using this result, existing univariate modelling software can be used to fit a single ARMA time series model simultaneously to multiple independent realizations of the same ARMA process. The interleaving approach and its properties will be presented and compared with alternative estimation options. It will be applied to the modelling of 66 years of daily maximum temperatures for Perth, Western Australia and to other time series models.

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Citation topics
6 Social Sciences
6.10 Economics
6.10.80 Market Interdependencies
Web Of Science research areas
Mathematics, Interdisciplinary Applications
Statistics & Probability
ESI research areas
Mathematics
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