Assessing multivariate normality is a fundamental prerequisite in many statistical analyses, including multivariate regression, principal component analysis and discriminant analysis. A broad spectrum ...

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Abstract: The standard multivariate metrics for semiconductor product yield estimation and prediction in production processes usually assume that the parameters contributing to the yield are all ...

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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.

Abstract: The heavy-tailed Multivariate Normal Inverse Gaussian (MNIG) distribution is a recent variance-mean mixture of a multivariate Gaussian with a univariate inverse Gaussian distribution. Due to ...

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 ...

A London revival of the hit musical brings extra warmth to the story of a woman in psychological free fall. By Matt Wolf The critic Matt Wolf saw a revival of “Next to Normal” in London. A mind in ...

In this study, to power comparison test, different univariate normality testing procedures are compared by using new algorithm. Different univariate and multivariate test are also analyzed here. And ...