Although a wide list of classes of space–time covariance functions is nowavailable, selecting an appropriate class of models for a variable under study is still difficult and it represents a priority problem with respect to the choice of a particular model of a specified class.Then, knowing the characteristics of various classes of covariances, and their auxiliary functions,and matching those with the characteristics of the empirical space–time covariance surface might be helpful in the selection of a suitable class. In this paper some characteristics, such as behavior at the origin ,asymptotic behavior, non-separability and anisotropy aspects, are studied for some wellknown classes of covariance models of stationary space–time random fields.Moreover, some important issues related to modeling choices are described and a case study is presented
Characteristics of some classes of space-time covariance functions
DE IACO, Sandra;POSA, Donato;
2013-01-01
Abstract
Although a wide list of classes of space–time covariance functions is nowavailable, selecting an appropriate class of models for a variable under study is still difficult and it represents a priority problem with respect to the choice of a particular model of a specified class.Then, knowing the characteristics of various classes of covariances, and their auxiliary functions,and matching those with the characteristics of the empirical space–time covariance surface might be helpful in the selection of a suitable class. In this paper some characteristics, such as behavior at the origin ,asymptotic behavior, non-separability and anisotropy aspects, are studied for some wellknown classes of covariance models of stationary space–time random fields.Moreover, some important issues related to modeling choices are described and a case study is presentedI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
