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- W4386724069 abstract "Multivariate statistics allow the simultaneous consideration of two or more random variables in a statistical analysis. To take into account the dependency between the random variables, copula models can be applied. In this chapter, the basic concepts of copulas and their extension, Vine-Copulas, are introduced. Different copula models are explained as well as how to derive joint and conditional probabilities. These multivariate statistics form the basis for the spatial statistics and consideration of flood types." @default.
- W4386724069 created "2023-09-14" @default.
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- W4386724069 date "2023-01-01" @default.
- W4386724069 modified "2023-10-18" @default.
- W4386724069 title "Principles of Multivariate Statistics" @default.
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- W4386724069 doi "https://doi.org/10.1007/978-3-031-32711-7_3" @default.
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