Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely ...

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 ...

Agricultural soil testing is critical to determining soil’s nutrient concentration and variability across your fields. It is ideal to test your fields’ soil at least every two to three years to inform ...

Sampling isn’t just recycling old sounds—it’s a powerful form of musical storytelling that bridges generations, honors cultural legacy, and sparks innovation. Imagine sitting in your car, listening to ...

Methods: To attract a large and heterogeneous sample, 3 different study flyers were created in English, French, and Spanish. Between December 1, 2023, and May 1, 2024, these flyers were distributed to ...

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.

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1 Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea 2 Department of Statistics, Seoul National University, Seoul, Republic of Korea Multi-omics data ...