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

Goodness-of-fit testing is a foundational component of statistical inference, providing a formal mechanism to evaluate whether observed data conform to a specified theoretical distribution.

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision ...