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THE ASYMPTOTIC PROPERTIES OF THE SAMPLE AUTOCORRELATIONS FOR A MULTIPLE AUTOREGRESSIVE PROCESS WITH ONE UNIT ROOT
Authors:V. A. Samaranayake  David P. Hasza
Affiliation:University of Missouri-Rolla and Boeing Computer Services
Abstract:Abstract. In this paper the large sample behaviour of the sample autocorrelation matrix R n( h ), ( h being the lag, n the sample size), of a multivariate autoregressive time series with one of its characteristic roots equal to unity and the rest of the roots lying inside the unit circle is studied. It is shown that R n( h ) converges almost surely to a constant matrix. Further, the asymptotic distribution of R n( h ) is characterized as that of a random matrix which is a function of jointly normal random variables.
Keywords:Multivariate time series    autoregression    nonstationarity    asymptotic behaviour    sample autocorrelations
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