Space-time correlation analysis: a comparative study
Space-time correlation modelling is one of the crucial steps of traditional structural analysis, since space-time models are used for prediction purposes. A comparative study among some classes of space-time covariance functions is proposed. The relevance of choosing a suitable model
by taking into account the characteristic behaviour of the models is proved by using a space-time data set of ozone daily averages and the flexibility of the product-sum model is also highlighted through simulated data sets.
Keywords: characteristic behaviour; product-sum model; space-time covariance; space-time random field; structural analysis
Document Type: Research Article
Affiliations: Dipartimento di Scienze Economiche e Matematico-Statistiche, Facolta di Economia, Universita del Salento, Lecce, Italy
Publication date: 01 June 2010
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