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Asymptotic properties of tests in autoregressive moving average models 

Author: N. Miethe a
Affiliation:   a Zentralinstitut fuumlr Mathematik und Mechanik der AdW der DDR, Berlin
DOI: 10.1080/02331887908801487
Publication Frequency: 6 issues per year
Published in: journal Statistics, Volume 10, Issue 2 1979 , pages 307 - 318
Formats available: PDF (English)
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Abstract

For the stationary univariate ARMA-model hypotheses about the orders of the autoregressive and moving average parts are tested, based on a finite sequence of observations. It is done using the statistic./GSTA_A_8801487_O_XML_IMAGES/GSTA_A_8801487_O_ILM0001.gif where ./GSTA_A_8801487_O_XML_IMAGES/GSTA_A_8801487_O_ILM0002.gif  respectively ./GSTA_A_8801487_O_XML_IMAGES/GSTA_A_8801487_O_ILM0003.gif  are asymptotically efficient estimates of the error variances under the hypothesis respectively the alternative. It is shown that the statistic ./GSTA_A_8801487_O_XML_IMAGES/GSTA_A_8801487_O_ILM0004.gif  is asymptotically equivalent to the likelihood ratio. The asymptotic distribution is central x2under the hypothesis and noncentral ξ2under a sequence of local alternatives.
Keywords: ARMA-model; likelihood ratio; local alternatives; approximate maximum likelihood function; asymptotic efficiency
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