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, denoted by Q ...

End-to-end Python econometric toolkit implementing Dustmann et al.'s (2025) decomposition framework for identifying the true labor market impact of immigration. Separates aggregate immigration effects ...

Previous studies have established a relationship between duodenal mucosa-associated microbiota and overall health. However, sampling duodenal microbiota is technically challenging. Mucosal biopsies ...

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.

Method acting, the practice of experiencing a role as opposed to merely representing it, has been maligned and venerated in equal measure. Many famous and flashy performances exist by virtue of actors ...

Only statistically significant variables are listed. 3.4 Regression analysis of factors affecting psychological distress in patients with BTC Results of the regression analysis based on the Bootstrap ...

x1 <- c(-0.673, -0.584, 0.572, -0.341, -0.218, 0.603, -0.415, -0.013, 0.763, 0.804, 0.054, 1.746, -0.472, 1.638, -0.578, 0.947, -0.329, -0.188, 0.794, 0.894, -1.227 ...

In a study published in PNAS, a research team developed a new reinforcement learning-based enhanced sampling method called Adaptive Collective Variables Generator (Adaptive CVgen), which has been ...