General considerations and interrelationships between ma and ar models, time series in m dimensions, the arma model

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Abstract
The paper describes a general linear stochastic model which supposes a time series to be generated by a linear aggregation of random shocks at various temporal and spatial locations. It is a combination of autoregressive and moving average models (ARMA). The autocorrelation functions and power spectra are determined,

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