Question 3 For an MA(3) process, the following is true p(1) = 1 P(5) = 0 = p(2) = 0 p(3) = 0 and p(5) = 0
Question 4 The following is not a necessary condition for weakly stationary time series? Mean is constant and does not depend on time Autocovariance function depends on s and t only through their difference s-t|(where t ands are moments in time) The time series under considerations is a finite variance process Time series is Gaussian
Question 3 For an MA(3) process, the following is true p(1) = 1 P(5) = 0 = p(2) = 0 p(3) = 0 and p(5) = 0 Question 4 T
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Question 3 For an MA(3) process, the following is true p(1) = 1 P(5) = 0 = p(2) = 0 p(3) = 0 and p(5) = 0 Question 4 T
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