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 ...

Mona, the maker of an AI monitoring platform, has introduced a new automated exploratory data analysis tool to identify the root cause of anomalies in multivariate datasets. Multivariate data analysis ...

This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying multivariate statistical methods and covers various applications of ...

Journal of Vegetation Science, Vol. 16, No. 5 (Oct., 2005), pp. 497-510 (14 pages) Questions: Are ordinal data appropriately treated by multivariate methods in numerical ecology? If not, what are the ...

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 ...

Before we learn how to perform multivariate regression in Excel, it is important to have a refresher on regression as a whole and multivariate regression in particular. One of the hallmarks of human ...

We propose a general framework for non-normal multivariate data analysis called multivariate covariance generalized linear models, designed to handle multivariate response variables, along with a wide ...

Atlanta and Tel Aviv — February 14, 2023 – Intelligent monitoring platform maker Mona has announced an automated exploratory data analysis tool to identify the root-cause of anomalies in multivariate ...

CAMO Software has announced the launch of a new version of its all-in-one multivariate data analysis (MVA) software, the Unscrambler X. The Unscrambler X 10.4 continues CAMO´s tradition of delivering ...

Multivariate 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 for several ...