Results 171 to 180 of about 18,813 (205)

Design of Trials with Composite Endpoints with the R Package CompAREdesign. [PDF]

Stat Biosci
Cortés-Martínez J, Bofill-Roig M, Gómez-Melis G.   +2 more
europepmc   +1 more source

Projections of meteorological drought severity-duration variations based on CMIP6. [PDF]

Sci Rep
Behzadi F, Javadi S, Yousefi H, Hashemy Shahdany SM, Moridi A, Neshat A, Golmohammadi G, Maghsoudi R.   +7 more
europepmc   +1 more source

Structured Expert Elicitation of Dependence Between River Tributaries Using Nonparametric Bayesian Networks. [PDF]

Risk Anal
Rongen G, Morales-Nápoles O, Worm D, Kok M.   +3 more
europepmc   +1 more source

The Dynamics of Shannon Entropy in Analyzing Climate Variability for Modeling Temperature and Precipitation Uncertainty in Poland. [PDF]

Entropy (Basel)
Twaróg B.
europepmc   +1 more source

The short-term intermittency evaluation of distributed photovoltaic power. [PDF]

Heliyon
Ma Y, Huang Y, Yuan Y.
europepmc   +1 more source

Efficiently sampling nested Archimedean copulas

Computational Statistics and Data Analysis, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marius Höfert
exaly   +4 more sources

Sampling Archimedean copulas

Computational Statistics & Data Analysis, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hofert, Marius
openaire   +3 more sources

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Frankʼs condition for multivariate Archimedean copulas

Fuzzy Sets and Systems, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
José M González-Barrios, Arturo Erdély   +1 more
exaly   +2 more sources

Semiparametric bivariate Archimedean copulas

Computational Statistics and Data Analysis, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alberto Suarez, José Miguel Hernández-Lobato   +1 more
exaly   +4 more sources

Simulating from Exchangeable Archimedean Copulas

Communications in Statistics Part B: Simulation and Computation, 2007
Multivariate exchangeable Archimedean copulas are one of the most popular classes of copulas that are used in actuarial science and finance for modeling risk dependencies and for using them to quantify the magnitude of tail dependence. Owing to the increase in popularity of copulas to measure dependent risks, generating from multivariate copulas has ...
Michael Sherris
exaly   +3 more sources