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

Multivariate analyses such as principal component analysis were among the first statistical methods employed to extract information from genetic markers. From their early applications to current ...

Missing data are common in survey data sets. Enrolled subjects do not often have data recorded for all variables of interest. The inappropriate handling of them may negatively affect the inferences ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

Peter H. Westfall is a distinguished professor of information systems and quantitative sciences at Texas Tech University.

Customer perceptions of your company's brand are complex and difficult to predict because of the variety of factors involved. Multivariate analysis uses statistical tools such as multiple regression ...

This video gives a demonstration on the application of multivariate statistical processes to various data sets applicable to forensics at Pittcon 2013. Examples comprise infrared spectra of controlled ...

For the analysis of multivariate categorical longitudinal data, we propose an extension of the dynamic logit model. The resulting model is based on a marginal parameterization of the conditional ...

The identification of a criminal who used a homemade pepper spray to commit heinous acts is often challenging for law enforcement officials, as these riot control agents (RCAs) are often unlabeled. In ...