We are pleased to pass along this information from the National Water Quality Monitoring Council (http://acwi.gov/monitoring/) about an upcoming webinar:
Title: Multivariate Statistical Analysis in Water Quality
Presenter: Karen R. Ryberg, Research Statistician, U.S. Geological Survey
Date/Time: Wednesday, November 29th at 12:00 pm ET.
Pre-registration is required. To register, please use the following link:
https://doilearn2.webex.com/doilearn2/k2/j.php?MTID=te4c8c14ed10f563b6849e9312c039279
Abstract: “Multivariate statistical techniques are the application of statistics to simultaneous observations and can include the analysis of more than one outcome (dependent) variable. Good multivariate analysis starts with exploratory and graphical analyses to reveal potential relations in the data and to highlight potential outliers. First, this presentation will discuss how to extend univariate and bivariate methods for graphical analysis to multivariate data, as well as methods unique to multivariate data. Second, multivariate outlier detection will be presented. Third, there will be a brief discussion of multivariate statistical analysis methods, such as multiple regression, principal component analysis, and cluster analysis, including examples and suggestions as to when one might want to use these techniques.”