The SIMCA 16 software has enhanced functionality features that include usability improvements and increased workflow flexibility. The new SIMCA 16 software from Sartorius Stedim Biotech for ...

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 ...

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 ...

Researchers led by Aurore Perrault at Concordia University, Canada and Valeria Kebets at McGill University, Canada, have used a complex data-driven analysis to uncover relationships among multiple ...

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 ...

The research described herein is motivated by a study of the relationship between agricultural meteorology and three major yields of crops in a province of China. To build a regression model for this ...

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 new version has greatly improved performance and is optimized for even better usability, security and reliability. The Unscrambler® X version 10.2 continues CAMO’s tradition of delivering powerful ...