Asymptotic properties of tests in autoregressive moving average models
Author:
N. Miethe a
| Affiliation: | a Zentralinstitut f r Mathematik und Mechanik der AdW der DDR, Berlin |
DOI:
10.1080/02331887908801487
Publication Frequency:
6 issues per year
Subjects:
Mathematical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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(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
where respectively are asymptotically efficient estimates of the error variances under the hypothesis respectively the alternative. It is shown that the statistic is asymptotically equivalent to the likelihood ratio. The asymptotic distribution is central x2under the hypothesis and noncentral ξ2under a sequence of local alternatives.
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| Keywords: ARMA-model; likelihood ratio; local alternatives; approximate maximum likelihood function; asymptotic efficiency |
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r Mathematik und Mechanik der AdW der DDR, Berlin



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