Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

The goal of this talk is to familiarize those in attendance with some common multivariate methods, such as principal component analysis, factor analysis, Hotelling’s T 2, etc. We’ll try to motivate ...

Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

Vol. 81, No. 5/6, Special Issue in Honor of the 80th Anniversary of Human Biology: The Gabriel W. Lasker Award Winners, 1992-2008 (October-December 2009), pp. 579-594 (16 pages) The use of ...