Dependent degradation processes of performance characteristics are ubiquitous in engineered systems. The initial state of each degradation process is usually random and relates to the degradation rate ...

This paper derives the asymptotic analytical forms of the mean and variance of the Gini correlation (GC) with respect to samples drawn from bivariate normal populations. The asymptotic relative ...

To analyse the correlation between women’s schooling and fertility and evaluate the effect of outliers on this relationship, a bivariate Poisson model was applied to three recent demographic and ...

Understanding the relationship between two variables is a key aspect of statistical analysis. One commonly used measure for this is the sample correlation coefficient, commonly represented by ‘r’.

In the case of bivariate correlations, Schönbrodt and Perugini (2013) sought to answer just that using Monte Carlo simulations. The authors simulated a bivariate Gaussian distribution of N = 1,000,000 ...

Partial correlation analysis was used to determine whether the prediction of cardiovascular disease risk based on total meat consumption was independent of factors such as obesity, socioeconomic ...

Global genetic correlation analysis has provided valuable insight into the shared genetic basis between psychiatric and substance use disorders. However, little is known about which regions ...

JOURNAL NAME: Open Journal of Statistics, Vol.12 No.2, April 27, 2022 ABSTRACT: One of the most commonly used statistical methods is bivariate correlation analysis. However, it is usually the case ...