Modeling dependent series systems with q-Weibull distribution and Clayton copula
Applied Mathematical Modelling, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jeffrey W Herrmann +1 more
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Correlation and risk measurement modeling: A Markov-switching mixed Clayton copula approach
Reliability Engineering and System Safety, 2020Abstract Correlation and risk measurement are important for reliability and safety evaluation of many practical systems. Clayton copula and 180° rotated Clayton copula are suitable for measuring the lower-lower tail correlation and the upper-upper tail correlation reflecting positive correlation, respectively.
Xiangdong Liu, Rui Peng
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Decentralized Detection of Signals with Joint Clayton Copula Distribution Model
2018 6th IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), 2018This paper considers a decentralized detection system for a binary hypothesis testing problem. The sensor signals are marginally Gaussian distributed with θ-parameter Clayton copula joint distribution. Boolean functions of two variables and likelihood ratio test at the fusion center are considered to generate binary global decisions.
Hadi Kasasbeh +2 more
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PENENTUAN PREMI TAHUNAN BERSIH ASURANSI JIWA SEUMUR HIDUP JOINT LIFE DENGAN MODEL COPULA CLAYTON DAN COPULA GUMBEL [PDF]
MILANG Journal of Mathematics and Its Applications, 2022 Asuransi jiwa seumur hidup adalah bentuk pengalihan risiko atas kerugian keuangan oleh tertanggung kepada penanggung yang disebabkan oleh hilangnya jiwa seseorang setelah polis disepakati. Pada status joint life pasangan suami istri Premi dibayarkan setiap tahun dan pembayaran manfaat dilakukan pada akhir tahun kematian pertama.
Laila Qudrah Fikriyah +4 more
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Bayesian mixed model for survival data with semicompeting risks based on the Clayton copula
Brazilian Journal of Probability and StatisticszbMATH Open Web Interface contents unavailable due to conflicting licenses.
González Patiño, Elizabeth +2 more
exaly +2 more sources
A New Two Parameter Bivariate Clayton Copula with Applications in Reliability
Sankhya AAgnideep Aich
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Spatio-temporal wind speed prediction based on Clayton Copula function with deep learning fusion
Renewable Energy, 2022Kwang Y Lee, Jiale Xie
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Ignoring the presence of dependent censoring in data analysis can lead to biased estimates, for example, not considering the effect of abandonment of the tuberculosis treatment may influence inferences about the cure probability. In order to assess the relationship between cure and abandonment outcomes, we propose a copula Bayesian approach. Therefore,
Silvana Schneider +5 more
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A New Statistical Distribution Derived from a Clayton Copula for Modeling Bivariate Processes
Journal of Hydrometeorology, 2023Abstract Rainfall and temperature extremes have become more frequent and severe in recent times due to changing climate. Since these catastrophic occurrences directly affect a region’s hydrology, it is imperative to develop models that can project and explain the joint behavior of climate variables.
Neeraj Poonia, Sarita Azad
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Adaptive Variance Scaling in Clayton Copula EDA
2012Estimation of Distribution Algorithms based on copula (cEDA) divide the estimated probabilistic model about the promising population into two parts, the marginal distribution of each variable and a copula function. The copula function combines the marginal distribution of each variable together as the joint distribution.
Ru Yang, Li-Fang Wang, Jian-Chao Zeng
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