ABSTRACT: In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, ...
ABSTRACT: In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, ...
Be honest, when was the last time you had your blood pressure checked? No, really? The health marker is something many of us gloss over, and it's easy to skim through the years completely unaware of ...
This Python module, designed as part of my Master's thesis "Modelling Commodity Futures Volatility" at University of Kiel, implements the Multivariate Markov Switching Constant Conditional Correlation ...
Abstract: Detecting condenser abnormalities is essential to ensure the safe and efficient operation of thermal power plants. However, most of the existing methods do not consider relationships among ...
Abstract: In this work, we propose a novel anomaly detection approach in images based on normality scores using transformations. By applying various transformations to the input image such as rotation ...
Background: Problematic internet use (PIU) is a serious global mental health issue that especially manifested during the Coronavirus disease (COVID-19) pandemic. Engagement in PIU as an impulsive ...
1 Department of Educational Leadership, Foundations and Policy, University of Virginia, Charlottesville, VA, United States 2 Department of Psychology, McGill University, Montreal, QC, Canada ...
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