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 ...

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 ...

ABSTRACT: The aim of this paper is to present a generalization of the Shapiro-Wilk W-test or Shapiro-Francia W'-test for application to two or more variables. It consists of calculating all the ...

This repository contains the code and analysis for a project focused on exploring multivariate normality within a dataset. The report's objective is to conduct a detailed analysis to determine whether ...

In this paper we proposed a new statistical test for testing the covariance matrix in one population under multivariate normal assumption. In general, the proposed and the likelihood-ratio tests ...

The extraction of cosmological parameters from microwave background observations relies on specific assumptions about the statistical properties of the data, in particular that the p-point ...

#loading composite score data saved from SPSS -- path is from local drive! my_data <- read.csv("C:\\Users\\ADMIN\\OneDrive - Universität des Saarlandes\\SoSe 24 ...