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EnglishAlthough 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.
| Titolo: | covatest: An R Package for Selecting a Class of Space-Time Covariance Functions | |
| Autori: | ||
| Data di pubblicazione: | 2020 | |
| Rivista: | ||
| Abstract: | 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. | |
| Handle: | http://hdl.handle.net/11587/439721 | |
| Appare nelle tipologie: | Articolo pubblicato su Rivista |
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