ABSTRACT: This article has two objectives. The first is to develop an R script that performs Mardia’s K2 test for assessing multivariate normality (MVN), using both its original asymptotic formulation ...

The federal statistical system is facing “unprecedented strain, uncertainty and transformation” in the face of staffing losses, funding pressures and threats to statistical integrity, according to a ...

A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

"Domino SCE QC represents the next step in modernizing statistical programming," said Nick Elprin, CEO and co-founder of Domino Data Lab. "It gives life sciences organizations the ability to ...

In an era where data drives every decision, the ability to move beyond static reports has become essential for organizations seeking agility and insight. Traditional outputs like PDFs and RTFs, while ...

ABSTRACT: In a previous article, an R script was developed and divided into three parts to implement the multivariate normality (MVN) Q-test based on both the chi-square approximation and the ...

The Advanced Graduate Certificate in Assessment and Quantitative Analysis (AQUA) is designed for graduate students completing a rigorous psychometric and quantitative methodology core. The 18-credit ...

The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into ...

Statistical learning (SL) is a fundamental cognitive ability enabling individuals to detect and exploit regularities in environmental input. It plays a crucial role in language acquisition, perceptual ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...