During his Ph.D. research, mathematician Tyron Lardy worked on a new approach to hypothesis testing. Instead of the traditional p-value, he uses so-called e-values. These turn out to be more ...

Goodness-of-fit testing is a foundational component of statistical inference, providing a formal mechanism to evaluate whether observed data conform to a specified theoretical distribution.

Brian Beers is a digital editor, writer, Emmy-nominated producer, and content expert with 15+ years of experience writing about corporate finance & accounting, fundamental analysis, and investing.

Basic concepts in hypothesis testing, including effect sizes, type I and type II errors, calculation of statistical power, non-centrality parameter, and applications of these concepts to twin studies.

When researchers conduct many statistical tests simultaneously, the chance of obtaining false positives increases. Traditional methods for multiple comparisons, such ...