Forbes contributors publish independent expert analyses and insights. I write about how to drive more value with data and analytics. Despite the increasing investments that companies have made in ...

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 ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Examination of the (sample) residuals resulting from the regression analysis can indicate failures of assumptions 1, 3, and 4. Such failures are not necessarily a bad thing: They can point the way to ...

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 ...

This is a preview. Log in through your library . Abstract The statistical assumptions of asymmetry and linearity in path models of academic achievement are critically examined using data from a sample ...

Since the first X-ray image of a comet was reported using an X-ray telescope in 1996, the investigation of charge exchange in collisions between highly charged ions and atoms or molecules has emerged ...