Results 71 to 80 of about 1,401 (188)
Revista 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
Waves of Uncertainty: Crude Oil Under Geopolitical, Economic, and ESG Turbulence
Energy Science &Engineering, Volume 14, Issue 3, Page 1258-1272, March 2026.Dynamic copula and wavelet coherence reveal that geopolitical, economic, and sustainability uncertainties significantly shape crude oil price co‐movements. Long‐term coherence, especially post‐2015, highlights the growing role of ESG risks alongside geopolitical shocks and economic crises in global energy risk transmission.
Sana Braiek +3 more
wiley +1 more source
On the asymptotic covariance of the multivariate empirical copula process
Dependence 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
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Meta‐Analysis of Cost‐Effectiveness
Statistics in Medicine, Volume 45, Issue 6-7, March 2026.ABSTRACT Systematic review and meta‐analysis are widely accepted approaches for evaluating treatment effectiveness. Meta‐analysis generally addresses statistical aspects of systematic reviews, such as the pooling of treatment effect sizes, assessment of heterogeneity, and statistical inference.
Heejung Bang, Hongwei Zhao
wiley +1 more source
Dependence properties of bivariate copula families
Dependence ModelingMotivated by recently investigated results on dependence measures and robust risk models, this article provides an overview of dependence properties of many well known bivariate copula families, where the focus is on the Schur order for conditional ...
Ansari Jonathan, Rockel Marcus
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Kuwait Journal of ScienceThis study introduces the Farlie-Gumbel-Morgenstern bivariate log-normal (bivariate FGM-LN) distribution, which was created using the FGM copula to describe dependent skewed data.
Shakila Bashir +2 more
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Estimating a bivariate tail: A copula based approach
Journal of Multivariate Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Di Bernardino, Elena +2 more
openaire +4 more sources
Vine copulas structures modeling on Russian stock market
Discrete and Continuous Models and Applied Computational Science, 2019 Pair-copula constructions have proven to be a useful tool in statistical modeling, particularly in the field of finance. The copula-based approach can be used to choose a model that describes the dependence structure and marginal behaviour of the data in
Eugeny Yu. Shchetinin
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Market Insurance and Risk Pooling in U.S. Crop Insurance
Agricultural Economics, Volume 57, Issue 2, March 2026.ABSTRACT A common assumption is that multiple‐peril crop insurance markets suffer from market failures, thus justifying government intervention in the form of premium subsidies, operating allowances, and reinsurance agreements. One prominent rationale for intervention involves geographic correlation in agricultural production which leads to systemic ...
Fan Fan +3 more
wiley +1 more source
A copula-based bivariate integer-valued autoregressive process with application
Modern Stochastics: Theory and Applications, 2019 A bivariate integer-valued autoregressive process of order 1 (BINAR(1)) with copula-joint innovations is studied. Different parameter estimation methods are analyzed and compared via Monte Carlo simulations with emphasis on estimation of the copula ...
Andrius Buteikis, Remigijus Leipus
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