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Unformatted text preview: var(delta + wt) = var(wt) E(delta+wt) = delta B*Xt = Xt1 B^2 * Xt = B(B Xt) = Xt2 delta = 1  B delta(delta(xt)) = (1B)[(1B)(xt)) = (12B+B^2)*Xt = Xt  2Xt1 + Xt2 In R, use diff for differencing delta(constant B0) = 0gamma(h) = cov(xt, t+h) gamma(0) = variance(xt) p(h) = autocorrelation btwn xt and xt+h p(h) = cov(xt, xt+h) / stdev(xt)*stdev(xt+h) but the 2 stdev are the same so it’s the variance on the bottom ph() = gamma(h) / gamma(0)[email protected] differencing might introduce additional dependencies that makes the model useless AR and MA models capture some type of dependency...
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 Fall '13
 Lin
 Autoregressive moving average model, Xt, Autoregressive model

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