Data science is now one of the most valuable skills across industries. It is used in business planning, medical research, artificial intelligence, banking, and many other fields. Companies now depend ...

This program develops advanced skills in data analysis, mathematics, statistics, and machine learning, preparing you for doctoral programs in data science or data analytics. Mississippi's first ...

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 ...

Purdue University’s online Master's in Applied Statistics prepares students to advance theory, methods and computing for the purpose of meeting today’s emerging science and technology by including ...

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 ...

ABSTRACT: In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, ...

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 ...

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 ...