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séries univariantes de tempo - metodologia de Box & Jenkins

séries univariantes de tempo - metodologia de Box & Jenkins

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168cc 9-16 Number with four <strong>de</strong>cimais (TMID)..0000 if no data transformation <strong>de</strong>sired.xxx.xxxx if want the amount xxx.xxxx ad<strong>de</strong>d to each timeseries observation before data transformation.10.12345cc 1-5 No. of differencing factors (or types). An autocorrelationfunction is calculated .-for the original series and eachrequested difference õf type 1. Differencing f actors beyondthe first are used to difference the original series to obtaina new "original series" (NDIFID).11. (Card required only if entry in 10. above is non-zero.)12345 ??cc 1-5 No. of differences of first type (NDID(l)).cc 6-10 Or<strong>de</strong>r of differences of first type (IODID(1)).Repeat in cc 11-15, 16-20, etc., for number of differentdifferences indicated in 10. above.types of13. _ _ _ _12345 27 28 29 30cc 1-5 Maximum lag <strong>de</strong>sired in calculating sample autocorrelatlons(NAC) .cc 6-10 Maximum lag <strong>de</strong>sired in calculating sample partial autocorrelatlons(NPAC). (Maximum is NAC.)cc 11-15 No. of autocorrelations to be printed per line on output(NAPL). (l

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