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• W2162348722 abstract "Statistical analysis based on random fields has become a widely used approach in order to better understand real processes in many fields such as engineering, environmental sciences, etc. Data analysis based on random fields can be sometimes problematic to carry out from the inferential prospective. Examples are when dealing with: large dataset, counts or binary responses and extreme values data. This article explains how to perform, with the R package CompRandFld, challenging statistical analysis based on Gaussian, binary and max-stable random fields. The software provides tools for performing the statistical inference based on the composite likelihood in complex problems where standard likelihood methods are difficult to apply. The principal features are illustrated by means of simulation examples and an application of Irish daily wind speeds." @default.
• W2162348722 created "2016-06-24" @default.
• W2162348722 creator A5022751315 @default.
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• W2162348722 date "2015-01-01" @default.
• W2162348722 modified "2023-10-02" @default.
• W2162348722 title "Analysis of Random Fields Using<b>CompRandFld</b>" @default.
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• W2162348722 doi "https://doi.org/10.18637/jss.v063.i09" @default.
• W2162348722 hasPublicationYear "2015" @default.
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