Results 51 to 60 of about 1,401 (188)
On Construction of Bernstein-Bézier Type Bivariate Archimedean Copula
Revstat Statistical Journal, 2022 In this paper, a new class of bivariate multi-parameter Archimedean copula based on Kendall distribution using Bernstein-Bézier polynomials is introduced. The new class copula has flexible dependence properties depending on the polynomial degree and the
Selim Orhun Susam , Burcu Hudaverdi
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A Dynamic Model for Extreme Hourly Precipitation
Environmetrics, Volume 37, Issue 3, April 2026.ABSTRACT Despite the scarcity of comprehensive studies at a global scale, many regional analyses report increases in extreme hourly precipitation values. The growing interest in assessing trends in extreme hourly precipitation has outpaced the development of new statistical tools tailored to their features. Typical analyses employ Extreme Value Theory (
Debbie J. Dupuis +2 more
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On Unit-Burr Distorted Copulas
AppliedMathThis paper introduces a new unit-Burr distortion function constructed via a transformation of the Burr random variable. The distortion can be applied to existing base copulas to create new copula families.
Fadal Abdullah A. Aldhufairi +1 more
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Bivariate Cox model and copulas
, 2009 This paper introduces a new class of Cox models for dependent bivariate data. The impact of the covariate on the dependence of the variables is captured through the modification of their copula. Various classes of well known copulas are stable under the model (archimedean type and extreme value copulas), meaning that the role of the covariate acts in a
Achibi, Mohamed, Broniatowski, Michel
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Journal of Computer Assisted Learning, Volume 42, Issue 2, April 2026.ABSTRACT Background Artificial intelligence (AI), in particular, generative AI, plays an increasingly critical role in education. Studies have shown that learners' positive perception of generative AI‐assisted writing tools can benefit them in their writing processes and outcomes.
Sung‐Hee Jin, Ann Tai Choe
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MATEC Web of Conferences, 2018 Synchronous-asynchronous encounter probability analysis of high-low runoff, which requires a description of the probabilistic properties of hydrological variables, is important in regional water resources management.
Jing CHEN, Shixiang GU, Tianli ZHANG
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A method of moments to estimate bivariate survival functions: the copula approach
Statistica, 2013 In this paper we discuss the problem on parametric and non parametric estimation of the distributions generated by the Marshall-Olkin copula. This copula comes from the Marshall-Olkin bivariate exponential distribution used in reliability analysis.
Silvia Angela Osmetti +1 more
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Projecting future climate change effects on the extreme hydrological drought events in the Weihe River basin, China [PDF]
Proceedings of the International Association of Hydrological Sciences, 2015 In this study, a framework to project the potential future climate change impacts on extreme hydrological drought events in the Weihe River basin in North China is presented.
F. Yuan +9 more
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Risk Times in Mission‐Oriented Systems
Quality and Reliability Engineering International, Volume 42, Issue 3, Page 1380-1398, April 2026.ABSTRACT This article assesses risk times in mission‐oriented systems with high safety standards. We examine critical times under two safety policies. The first requires that the system's reliability function, known the first failure of the components, must exceed a reliability level throughout the mission.
Antonio Arriaza +2 more
wiley +1 more source
Revista Colombiana de Estadística, 2008 La distribución Weibull bivariada es muy importante en confiabilidad y en análisis de supervivencia. La dependencia para este tipo de problemas ha venido cobrando gran importancia en años recientes.
MARIO CÉSAR JARAMILLO +3 more
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