The Classification of Data under Autoregressive Circulant Covariance
Christopher Louden
Broschiertes Buch

The Classification of Data under Autoregressive Circulant Covariance

With Comparisons to Compound Symmetry

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The problem of classification is an old one that hasapplication in geophysical, medical, signalprocessing and many other fields. There are numerousapproaches to this problem using the statisticalproperties of the populations from which observationsare drawn. In applications such as geophysical andsignals processing there is a natural structure onthe variance-covariance matrix of the observationvectors. The efficacy of classification is generallyincreased by taking that structure into account. Onesuch structure that is used to model thatvariance-covariance matrix is the autoregressivecirculant ...