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 ...

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 ...

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 ...

The model-based approach to inference from multivariate data with missing values is reviewed. Regression prediction is most useful when the covariates are predictive of the missing values and the ...

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 ...

Limnology and Oceanography, Vol. 54, No. 6 (Nov., 2009), pp. 2107-2127 (21 pages) A continuous, 13-yr record of environmental data and phytoplankton species and assemblage structure in the mesohaline ...