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by Roberto Baragona, Francesco Battaglia
http://ser.sta.uniroma1.it/cofin98/Rt3-99.ps
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Abstract:
Portmanteau tests are considered that involve ordinary, partial and inverse autocorrelation functions. A decomposition of the ordinary autocorrelation coefficient forms the basis on which the introduction of new tests is motivated and the meaning of existing ones is highlighted. We discuss their asymptotic distributions and provide some empirical evidence about their deviation from values obtained even in the presence of samples of rather large size. Similar findings were reported already in the literature about the portmanteau tests based on ordinary and partial autocorrelations. Tables of some percentage points computed by means of a Monte Carlo simulation experiment are included that may be used for both testing randomness of a given time series and diagnostic checking of residuals from an entertained model. Outcomes are given on significance levels and power of the testing procedures based on simulated time series and comparison with results provided with from previous works are considered. 2
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