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 ...

The Unscrambler® is a complete Multivariate Analysis and Experimental Design (DoE) software solution that is equipped with powerful methods, including PCA, Multivariate Curve Resolution (MCR), PLS ...

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 ...

Nonparametric methodology for longitudinal data analysis is becoming increasingly popular. The analysis of multivariate longitudinal data, where data on several time courses are recorded for 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 ...

Modem students encounter large, messy datasets long before setting foot in our classrooms. Many of these students need to develop skills in exploratory data analysis and multivariate analysis ...

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 ...

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...