Concept explainers
a)
To determine: The resulted model using backshift notation with backshift operator B , considering ARIMA (0, 2, 2) process.
Introduction: ARIMA is based on exploiting the autocorrelation structure of a time series.Backshift operator B is a helpful notational tool when operating with lags in the time series used to create distinctions.
b)
To determine: The resulted model using backshift notation with backshift operator
Introduction: ARIMA is based on exploiting the autocorrelation structure of a time series. Backshift operator is a specifically helpful notational tool in case of combining differences.
(c)
To determine: The resulted model using no backshift notation, considering ARIMA process.
Introduction: ARIMA is based on exploiting the autocorrelation structure of a time series.The ARIMA process without backshift notation represents a stationary state.
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