covatest: An R Package for Selecting a Class of Space-Time Covariance Functions
| Autor: | Donato Posa, Sandra De Iaco, Claudia Cappello |
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| Přispěvatelé: | Cappello, Claudia, DE IACO, Sandra, Posa, Donato |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Class (set theory) Covariance function test on classes of space-time covariance functions Type (model theory) 01 natural sciences 010104 statistics & probability HA29-32 HA154-4737 0101 mathematics symmetry Mathematics space-time covariance functions symmetry separability type of non-separability test on classes of space-time covariance functions separability Space time Statistics Covariance space-time covariance functions HA1-4737 Data set Algebra R package type of non-separability Statistics Probability and Uncertainty Symmetry (geometry) Software |
| Zdroj: | Journal of Statistical Software; Vol 94 (2020); 1-42 Journal of Statistical Software, Vol 94, Iss 1, Pp 1-42 (2020) |
| ISSN: | 1548-7660 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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