This package provides a fast way to evaluate the pdf and cdf of a standardized multivariate normal distribution. Currently, it only contains code for the bivariate normal distribution. The ...

Abstract: Data-driven approaches have been widely used in the field of traction system and equipment fault diagnosis. However, limited training samples can cause data-driven models to face the dilemma ...

Unlock the simplest and clearest explanation of the Normal Distribution! In this video, we break down one of the most important concepts in statistics using easy visuals and real-life examples.

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 ...

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 ...

ABSTRACT: This paper investigated the effect of financial ratio anomalies on the creditworthiness of companies in the production and manufacturing sectors listed on the Istanbul Stock Exchange.

Is your feature request related to a problem? Please describe. One of the main barriers to running RAVEN without building it is the reliance on key functionalities from Crow. The Crow class for ...