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On the cumulated periodogram goodness-of-fit test in ARMA models

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1996-07
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Abstract
The asymptotic distribution of the cumulated periodogram goodness-of-fit test statistic for ARMA models is obtained, and is shown to be different from the limiting distribution of the standard Kolmogorov-Smirnov test statistic for probability distributions. The implications of this anomaly for inference purposes are analyzed. A modified cumulated periodogram goodness-of-fit test statistic is suggested, and its properties are studied and compared with other goodness-of-fit criteria proposed in the literature.
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Autocorrelation function, Ljung-Box statistic, Normalized spectral distribution function, Residuals
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