public class ARMAOutlierIdentificationEx2 extends Object
Performs outlier identification on an \( \text{ARMA}(1,1)\) process contaminated by outliers.
This example generates a realization of an \(\text{ARMA}(1,1)\) process via the formula \(Y_t-0.8Y_{t-1}=10.0+a_t+0.5a_{t-1},\, t=1,\ldots,300,\) where \( \{a_t\}\) is Gaussian white noise and \(E[Y_t]=50.0\). An additive outlier with \(\omega_1=4.5\) is added at time point \(t=150\), and a temporary change outlier with \(\omega_2=3.0\) is added at time point \(t=200\).
Constructor and Description |
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ARMAOutlierIdentificationEx2() |
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