- In the model \( Y_t = \mu + e_t + e_{t-1} \), \( \mu \) is a constant, \( e_t \) is a white noise error term at time \( t \), and \( e_{t-1} \) is the white noise error term at time \( t-1 \).
- In the alternative model \( Y_t = \mu + e_t \), \( e_t \) is still
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