F&ES 758b / 2013-2014

Multivariate Statistical Analysis in the Environmental Sciences

Credits: 3

Spring 2014: Tu,Th, 1:00-2:15, Burke
Spring OCI Listing    


An introduction to the analysis of multivariate data. Topics include multivariate analysis of variance (MANOVA), principal components analysis, cluster analysis (hierarchical clustering, k-means), canonical correlation, multidimensional scaling ordination methods, discriminate analysis, and structural equations modeling. Emphasis is placed on practical application of multivariate techniques to a variety of natural and social examples in the environmental sciences. Students are required to select a dataset early in the term for use throughout the term. There are regular assignments and a final project. Extensive use of computers is required.

Prerequisites for F&ES 758:
F&ES 510: Introduction to Statistics in the Environmental Sciences
or equivalent coursework.
Online Course Information: