
doi: 10.1007/bf03025267
A decomposition of the general Moving Average process is described, and the conditions for it to be possible are given. The ideas are illustrated by considering the resolution of the second order process into component processes.
Time series, auto-correlation, regression, etc. in statistics (GARCH), Stationary stochastic processes, addition of independent processes, autocorrelation function, orthogonal decomposition of moving average processes
Time series, auto-correlation, regression, etc. in statistics (GARCH), Stationary stochastic processes, addition of independent processes, autocorrelation function, orthogonal decomposition of moving average processes
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