Suppose {Yt} is a time series such that Yt = et + cet−1 + cet−2 + · · · + ce0 for all t > 0. a) Find the mean and covariance functions for {Yt}, and determine whether or not {Yt} is stationary. Similarly, find the mean and covariance functions for {∇Yt}, and determine whether or not {∇Yt} is stationary. b) Find the values p, d, q so that {Yt} is an ARIMA(p, d, q) model.

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. Suppose {Yt} is a time series such that Yt = et + cet−1 + cet−2 + · · · + ce0 for all t > 0.
a) Find the mean and covariance functions for {Yt}, and determine whether or not {Yt} is stationary. Similarly, find the mean and covariance functions for {∇Yt}, and determine whether or not {∇Yt} is stationary.
b) Find the values p, d, q so that {Yt} is an ARIMA(p, d, q) model.

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