Results 71 to 80 of about 3,668 (232)

Amplification of Flood Hazard and Damage by Compounding Pluvial and Fluvial Flooding

open access: yesEarth's Future, Volume 14, Issue 6, June 2026.
Abstract Flood risk management has traditionally treated fluvial and pluvial flooding in isolation, for example, by producing inundation maps separately for each flood type. Here, we develop an integrated modeling framework capable of capturing the interplay of both flood types when they co‐occur.
Xiaoxiang Guan   +8 more
wiley   +1 more source

Exploring Two Modified Ali-Mikhail-Haq Copulas and New Bivariate Logistic Distributions

open access: yesPan-American Journal of Mathematics
The Ali-Mikhail-Haq copula is a bivariate ratio-type Archimedean copula known for its simplicity and flexibility in modeling moderate negative and positive dependence structures, making it widely used in various fields.
Christophe Chesneau
doaj   +1 more source

Analyzing Non‐Random Selectivity in Online Job Advertisements Using Eurostat Benchmark Data and Generalized Sample Selection Models: An Application to EU Regional Labor Markets

open access: yesLABOUR, Volume 40, Issue 2, Page 131-161, June 2026.
ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio   +1 more
wiley   +1 more source

GENERATION OF WEIBULL BIVARIATE DEPENDENT FAILURE TIMES USING COPULAS GENERACIÓN DE TIEMPOS DE FALLA DEPENDIENTES WEIBULL BIVARIADOS USANDO CÓPULAS

open access: yesRevista Colombiana de Estadística, 2008
The bivariate Weibull distribution is very important in both reliability and survival analysis. The dependence for these kind of problems has been gaining great importance in recent years.
Jaramillo Mario César   +3 more
doaj  

Survival Copula Entropy and Dependence in Bivariate Distributions

open access: yesRevstat Statistical Journal
In the present work we propose survival copula entropy as an alternative to Shannon entropy, cumulative residual entropy and copula entropy measures in computing the uncertainty in bivariate populations.
S.M. Sunoj , N. Unnikrishnan Nair
doaj   +1 more source

Predicting Direction of High‐Speed Wind: A Bayesian Approach to Conditional Cylindrical Distributions

open access: yesEnvironmetrics, Volume 37, Issue 4, May 2026.
ABSTRACT High‐speed winds pose several dangers to both the built environment and the natural environment, affecting human lives and livelihoods, as well as endangering wildlife. On the other hand, high‐speed winds can be beneficially harnessed through the optimal orientation of turbines to maximize wind energy production.
Najmeh Nakhaei Rad   +2 more
wiley   +1 more source

Copula bivariate probit models: with an application to medical expenditures [PDF]

open access: yes
The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor (the "treatment") on a binary health outcome variable.
Rainer Winkelmann
core  

Improving Power of the Win Ratio Analysis through Distance‐based Weights

open access: yesStatistics in Medicine, Volume 45, Issue 10-12, May 2026.
ABSTRACT The win ratio method, used to analyze composite endpoints in clinical trials, has gained substantial popularity in recent years because of its ability to prioritize components of the composite outcome. Despite gaining popularity and being extended to solve some of its issues, little work has been done to incorporate covariate information into ...
Md Rejuan Haque   +4 more
wiley   +1 more source

Pricing bivariate option under GARCH processes with time-varying copula [PDF]

open access: yes
This paper develops a method for pricing bivariate contingent claims under General Autoregressive Conditionally Heteroskedastic (GARCH) process. As the association between the underlying assets may vary over time, the dynamic copula with time-varying ...
Dominique Guegan, Jing Zhang
core  

On the asymptotic covariance of the multivariate empirical copula process

open access: yesDependence Modeling, 2019
Genest and Segers (2010) gave conditions under which the empirical copula process associated with a random sample from a bivariate continuous distribution has a smaller asymptotic covariance than the standard empirical process based on a random sample ...
Genest Christian   +2 more
doaj   +1 more source

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