The Center is funded by the University to promote high quality statistical consulting to researchers and is staffed by a Manager and full-time statistics faculty in the Department of Statistics.

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

MANOVA is one of a group of techniques called multivariate statistical methods. “Multivariate” refers to multiple outcome variables assessed at once, ... Others include cluster analysis, multivariate ...

Topics include multivariate normal distribution, multivariate analysis of variance and covariance (MANOVA and MACOVA), principal components, factor analysis, structure equation modeling, canonical ...

Applied Multivariate Statistics with SAS Software, Second Edition provides a unique approach to the topic, integrating statistical methods, data analysis, and applications. Now extensively revised, ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors ...

Course TopicsMultivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used ...

Multivariate statistical methods Our research group develops modern and efficient multivariate statistical methods tailored for different types of multivariate data, such as time series, spatial data, ...

Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, ... Robust Permutation Tests For Correlation And Regression Coefficients.