Diagnostics for testing model goodness-of-fit
and badness-of-fit for time series data are formulated by considering
a convenient metrization of a spectral density's departure from
constancy. The method is illustrated through numerical experiments
and several case studies.
ARMA, EXP Models, Frequency Domain, Nonstationary Time Series
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