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 ...

Statistical models are built on various assumptions -- that the sample is i.i.d., that measurement errors are homoscedastic, that we should model a variable as latent instead of composite, etc. All of ...

Hypothesis testing provides organizations with a structured approach to evaluate assumptions using data, reducing reliance on intuition and enhancing decision accuracy. By validating decisions with ...

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