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 presented

Autore Pugliese

• De Iaco Sandra , Posa Donato

Tutti gli autori

• De Iaco S. , Posa D. , Myers D.E.

Titolo volume/Rivista

JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Anno di pubblicazione

2013

ISSN

0378-3758

ISBN

Non Disponibile

Numero di citazioni Wos

8

Ultimo Aggiornamento Citazioni

28/04/2018

Numero di citazioni Scopus

10

Ultimo Aggiornamento Citazioni

28/04/2018

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile