Multivariate normality testing plays a critical role in modern statistical analysis by evaluating whether a multivariate dataset conforms to the assumptions of a normal distribution. Such assessments ...

Just like people around the world are familiar with pig, chicken and cattle farming, some researchers want python farms on a commercial scale to be promoted in years to come. Reason - snake meat could ...

ABSTRACT: Using the results of a unique telephone survey the frequency of consumer flights from airports in a multi-airport region are modeled using a multivariate Poisson framework, the parameters of ...

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 ...

Abstract: Nowadays, computer games have gained immense popularity, captivating gamers who can easily spend hours engrossed in their laptops. However, not every game has the ability to keep players ...

Abstract: In this brief, we first propose a multiple scaled multivariate skew normal variance-mean mixture (MSMSNVMM) distribution to model heavy-tailed and/or skew measurement noises (HTSMN) whose ...

This module implements the Efficient sampling algorithm of truncated multivariate (scale) mixtures of normals under linear inequality constraints proposed by Li and ...