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Article #3604serial correlation
From: PMTB00A
Date: Fri, 03 Jan 1992 16:44
Date: Fri, 03 Jan 1992 16:44
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The whole problem that you are having is that you have ignored the
underlying analytical structure. In particular if the disturbances u(t)
exhibit first order autocorrelation then we represent them by
u(t) = p*u(t-1) + e(t)
where e(t) is serially independent. The variance of u(t) is an infinite
geometric series in var(e(t)). From this we obtain, the result that
var(e(t)) = (1-p)*var(u(t))
Thus, your problem is solved with clear presentation.
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: f5efb,2c062ea27ea86a49,start X-Google-Attributes: gidf5efb,public X-Google-ArrivalTime: 1992-01-03 09:53:46 PST Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU Path: arc1-ca.pugleaf.net!sparky!uunet!wupost!darwin.sura.net!paladin.american.edu!auvm!PANAM.BITNET!PMTB00A Original_To: BITNET%"stat-l@mcgill1" Message-ID: <STAT-L%92010312450382@VM1.MCGILL.CA> Newsgroups: bit.listserv.stat-l Date: Fri, 3 Jan 1992 11:44:00 CDT Sender: "STATISTICAL CONSULTING" <STAT-L@MCGILL1.BITNET> From: PMTB00A@PANAM.BITNET Subject: serial correlation