Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

This is a preview. Log in through your library . Abstract This paper presents procedures for multivariate analysis of variance which simultaneously test for significance all variables together as well ...

Sartorius Stedim Biotech (SSB), a leading international partner of the biopharmaceutical industry today announced the new SIMCA ® 16 software for multivariate data analytics is available from its ...

Multivariate functional data are increasingly encountered in data analysis, whereas statistical models for such data are not well developed yet. Motivated by a case-study where one aims to quantify ...

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 ...

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 ...