Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Therefore, this Methods Group will help define and support responsible AI use across four of the leading evidence synthesis organizations, including the Cochrane Collaboration, the Campbell ...

This article will cover the theory underpinning multivariate analysis of variance (MANOVA), which expands on the capabilities of ANOVA, the types of MANOVA and a worked example of the test.

Discover how multivariate methods in data science enhance predictive analytics for more accurate forecasting and deeper insights.

Discover how multivariate statistical methods can transform your data analysis for more accurate insights and predictions.

Course TopicsThe goal of this talk is to familiarize those in attendance with some common multivariate methods, such as principal component analysis, factor analysis, Hotelling’s T2, etc. We’ll try to ...

Multivariate analysis techniques may be used for several purposes, such as dimension reduction, clustering, or classification. The primary goal of this short course is to help researchers who want to ...

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 ...