Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...

A three-step model checking workflow has the potential to revolutionize how researchers evaluate the suitability of their statistical models for specific datasets. Developed by KAUST, the workflow is ...

Normality testing is a fundamental component in statistical analysis, central to validating many inferential techniques that presume Gaussian behaviour of error terms ...