Zobrazeno 1 - 10
of 387
pro vyhledávání: '"Vine copulas"'
Publikováno v:
IEEE Access, Vol 12, Pp 129173-129186 (2024)
Flight dynamic-based physical models are employed to assess the risk of runway overruns, predicting risk based on the metric given by the distance to a controllable speed of 80 knots after landing. The analysis incorporates Quick Access Recorder (QAR
Externí odkaz:
https://doaj.org/article/40472634e6294547a60dfc1ce88805bd
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 5, Pp 1551-1568 (2023)
The Wei River Basin has suffered from severe droughts. It is essential to build drought relief projects to cope with drought disasters. Traditionally, design quantiles have been estimated using univariate analysis, in which multiple characteristics o
Externí odkaz:
https://doaj.org/article/65127a9ab77d4515879934fef0430f31
Akademický článek
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Akademický článek
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Publikováno v:
Journal of Applied Research in Water and Wastewater, Vol 9, Iss 1, Pp 76-82 (2022)
In this study, using vine copulas and tree sequences, dependence analysis of groundwater quality variables (Total hardness (TH), Sodium adsorption ratio (SAR), Sodium percentage (Na %) and magnesium (Mg)) was performed. For this purpose, the tree seq
Externí odkaz:
https://doaj.org/article/d477b5fe0ea2434ab8e85320c144ea94
Publikováno v:
Journal of Statistical Software, Vol 102, Pp 1-45 (2022)
In factor analysis and structural equation modeling non-normal data simulation is traditionally performed by specifying univariate skewness and kurtosis together with the target covariance matrix. However, this leaves little control over the univaria
Externí odkaz:
https://doaj.org/article/f66a3cf80f84497dacdc20409b4dc304
Publikováno v:
Dependence Modeling, Vol 10, Iss 1, Pp 145-158 (2022)
Modeling the error terms in stochastic frontier models of production systems requires multivariate distributions with certain characteristics. We argue that canonical vine copulas offer a natural way to model the pairwise dependence between the two m
Externí odkaz:
https://doaj.org/article/1cfcd60cbc764a9ea6145f620e889b3c
Autor:
Bladt Martin, McNeil Alexander J.
Publikováno v:
Dependence Modeling, Vol 10, Iss 1, Pp 87-107 (2022)
Stationary and ergodic time series can be constructed using an s-vine decomposition based on sets of bivariate copula functions. The extension of such processes to infinite copula sequences is considered and shown to yield a rich class of models that
Externí odkaz:
https://doaj.org/article/bc4505386c0841a9a4829ca662c3d6a9
Publikováno v:
Applied Water Science, Vol 12, Iss 4, Pp 1-15 (2022)
Abstract Investigating the interaction of water resources such as rainfall, river flow and groundwater level can be useful to know the behavior of water balance in a basin. In this study, using the rainfall, river flow and groundwater level deficienc
Externí odkaz:
https://doaj.org/article/117e51e9ad3c41409a230c9f97b48551
Publikováno v:
Dependence Modeling, Vol 10, Iss 1, Pp 1-21 (2022)
Quantile regression is a field with steadily growing importance in statistical modeling. It is a complementary method to linear regression, since computing a range of conditional quantile functions provides more accurate modeling of the stochastic re
Externí odkaz:
https://doaj.org/article/71b1c72611024dbfba4689af1640cdca