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 ...

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 ...

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 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 ...

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 ...

This course is available on the MRes in Management (Marketing), MSc in Data Science, MSc in Health Data Science, MSc in Marketing, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in ...

This course is available on the Global MSc in Management, Global MSc in Management (CEMS MIM), Global MSc in Management (MBA Exchange), MSc in Applied Social Data Science, MSc in European and ...