Abstract: The heavy-tailed Multivariate Normal Inverse Gaussian (MNIG) distribution is a recent variance-mean mixture of a multivariate Gaussian with a univariate inverse Gaussian distribution. Due to ...
The normal distribution is a concept in statistics that assumes all values are distributed in the same pattern. It requires symmetry and consistent proportions in the distribution of values. Normal ...
ABSTRACT: In a previous article, an R script was developed and divided into three parts to implement the multivariate normality (MVN) Q-test based on both the chi-square approximation and the ...
Department of Mechanical Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan ...
PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers who need a little more versatility, there’s uv. Find these tools and more ...
There is a huge speed regression (180x slower) in computing the cdf for the multivariate normal since scipy-1.16.0. The numerical precision is also worse and that lets unit tests in the iminuit ...
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When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn ...
ABSTRACT: The Edinburgh Postnatal Depression Scale (EPDS) is widely used in epidemiological, research, and clinical contexts. Although it has clearly established cut-off points, its psychometric ...
The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
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