Course TopicsMultivariate 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 ...

Data Set: The Iris flower data set will be used for illustration purpose. It includes 50 samples from each of three species of Iris (setosa, virginica and versicolor). Four outcome variables were ...

Multivariate regression enables you to relate one dependent variable to multiple independent variables you've derived from surveys or measurements. This type of data analysis ... on the graph. As ...

Mona Introduces Automated Exploratory Data Analysis Tool February 14, 2023 by staff Atlanta and Tel Aviv — February 14, 2023 – Intelligent monitoring platform maker Mona has announced an automated ...

Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with ...

Id: 038569 Credits Min: 3 Credits Max: 3 Description. This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying multivariate ...

Multivariate data analysis (MVDA) is being used to effectively handle complex datasets generated by process analytical technology (PAT) in biopharmaceutical process development and manufacturing. From ...

In Part I of this article series, the authors discussed the regression control chart method for identifying out-of-trend data in pharmaceutical stability studies. In Part II, the by-time-point method ...