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The Effect of Variable Resistance Training on Post-Activation Performance Enhancement: A Systematic Review and Three-Level Meta-analysis. [PDF]
Yan Z, Lin S, Wu J, Yi X, Liu J, Liu R.
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Concerns About Heterogeneity Assessment in Statistics of Meta-analyses; a Letter to the Editor. [PDF]
Karami M, Farrokhi M.
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Network geometry, topology, and spectral analysis in global stock markets: Insights from using the Ricci curvature, Euler characteristic, and random matrix theory. [PDF]
Domínguez-Monterroza A +2 more
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Uncertainty Quantification for Cardiac Diffusion Tensor Imaging Without Additional Datasets. [PDF]
Coveney S +7 more
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Leveraging Machine Learning to Advance Alcohol Research: Current Applications, Challenges, and Opportunities. [PDF]
Zhao Q, Pohl KM.
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Random Distortion Risk Measures
Insurance: Mathematics and Economics, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zang, Xin +3 more
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2004
Since its foundation by Borel and Lebesgue around the year 1900 the modern theory of measure, generalizing the basic notions of length, area and volume, has become one of the major fields in Pure and Applied Mathematics. In all human activities one collects measurements subject to variability and leading to the classical concepts of Probability and ...
Alain Berlinet, Christine Thomas-Agnan
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Since its foundation by Borel and Lebesgue around the year 1900 the modern theory of measure, generalizing the basic notions of length, area and volume, has become one of the major fields in Pure and Applied Mathematics. In all human activities one collects measurements subject to variability and leading to the classical concepts of Probability and ...
Alain Berlinet, Christine Thomas-Agnan
openaire +1 more source

