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covatest: An R Package for Selecting a Class of Space-Time Covariance Functions
被引:15
|作者:
Cappello, Claudia
[1
]
De Iaco, Sandra
[1
]
Posa, Donato
[1
]
机构:
[1] Univ Salento, Dept Management Econ Math & Stat, I-73100 Lecce, Italy
来源:
关键词:
space-time covariance functions;
symmetry;
separability;
type of non-separability;
test on classes of space-time covariance functions;
STRICT POSITIVE DEFINITENESS;
RANDOM-FIELDS;
FORTRAN PROGRAMS;
MODELS;
NONSEPARABILITY;
PREDICTION;
PRODUCT;
GSTAT;
D O I:
10.18637/jss.v094.i01
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
Although a very rich list of classes of space-time covariance functions exists, specific tools for selecting the appropriate class for a given data set are needed. Thus, the main topic of this paper is to present the new R package, covatest, which can be used for testing some characteristics of a covariance function, such as symmetry, separability and type of non-separability, as well as for testing the adequacy of some classes of space-time covariance models. These last aspects can be relevant for choosing a suitable class of covariance models. The proposed results have been applied to an environmental case study.
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页码:1 / 42
页数:42
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