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The Space-Time Autoregressive Moving-Average (STARMA) model family is a statistical inductive model that can be used to describe stationary (or weak stationary) space-time processes. However, parameter estimation of the model often is not easy to obtain analytically because of the hard computation or the unknown probability density function underlying the data. To ease the difficulty, an approach...
It is well known that in the reality, sequential data more likely exhibit a non-stationary time series or a seasonal non-stationary time series than the stationary one. Therefore, a hypothesis is needed for testing those properties in the time series. Various tests are available in the literature; however in this study unit root test of Dickey fuller, augmented Dickey fuller and seasonal Dickey fuller...
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