On the sufficient statistics for multivariate ARMA models: approximate approach |
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Authors: | M Kharrati-Kopaei A R Nematollahi Z Shishebor |
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Institution: | (1) Department of Statistics, Collage of Sciences, Shiraz University, Shiraz, 71454, Iran |
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Abstract: | This paper is an investigation on the sufficient statistic for the parameters of the vector-valued (multivariate) ARMA models, when a finite sample is available. In the simplest case ARMA(1,1), by using the factorization theorem, we present a sufficient statistic whose dimension depends on the sample size and
this dimension is even larger than the sample size. In this case and under some restrictions, we have solved this problem
and have presented a sufficient statistic whose dimension does not depend on the sample size. In the general case, due to
the complexity of the problem, we will use the modified versions of the likelihood function to find an approximate sufficient
statistic in terms of the periodogram. The dimension of this sufficient statistic depends on the sample size; however, this
dimension is much lower than the sample size. |
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Keywords: | Multivariate ARMA Sufficient statistic Approximate sufficient statistic |
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