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 ...

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 ...

Trauma affects intense people differently. People who are more emotionally sensitive have stronger reactions to adverse events in their lives. Their receptivity means they are deeply affected by toxic ...