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dc.contributor.authorDe Klerk, J.
dc.identifier.citationDe Klerk, J. 2014. Identifying South African tourism time series structure using singular spectrum analysis. South African statistical journal, 48(1):19-39. []en_US
dc.description.abstractSingular spectrum analysis is a powerful non-parametric time series method that applies singular value decomposition to a Hankel structured matrix. The method can handle complex time series structures that include combinations of polynomials, sinusoids and exponentials. The effectiveness of the method is illustrated by application to a South African tourism time seriesen_US
dc.publisherSouth African Statistical Associationen_US
dc.subjectHankel matrixen_US
dc.subjectsingular spectrum analysisen_US
dc.subjectsingular value decompositionen_US
dc.subjecttime series structureen_US
dc.titleIdentifying South African tourism time series structure using singular spectrum analysisen_US
dc.contributor.researchID23239603 - De Klerk, Jacques

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