In this paper we prove the asymptotic normality of two statistics which have been proposed to test the hypothesis that two samples come from the same parent population. One statistic is the number of ...

This project applies nonparametric statistical methods, including the Wilcoxon Rank-Sum Test, Kruskal-Wallis Test, bootstrapping, and Monte Carlo simulations, to analyze data without normality ...

Review challenges in the use of normality testing situations and recommendations on how to assess data distributions in the pharmaceutical development manufacturing environment Statisticians ...

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in ...

Normality testing is a fundamental component in statistical analysis, central to validating many inferential techniques that presume Gaussian behaviour of error terms ...

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.

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 ...

Abstract: Deep learning based signal processing technology has been applied in communication systems for enhancing information transmission performances, whose learning capability depends on the loss ...