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2. Consider an MA(1) process for which it is known that the process mean is zero. Based on a series of length n = 3,

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2. Consider an MA(1) process for which it is known that the process mean is zero. Based on a series of length n = 3, we observe Y1 = 0, Y2 = 1, and Y3 = 1/2. Estimate 0 and 05 using the method of least squares. 3. Given the data Y1 = 10, Y2 = 9 and Y3 = 9.5, we want to t an ARIMA(0,1,1) model without a constant term. Estimate 6 and 06 using the method of least squares

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