Abstract #301007

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2002 Program page
JSM 2002 Abstract #301007
Activity Number: 250
Type: Contributed
Date/Time: Tuesday, August 13, 2002 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics & the Environment*
Abstract - #301007
Title: Using Bayesian Model Averaging with Canonical Correspondence Analysis
Author(s): Eric Smith*+ and Ilya Lipkovich
Affiliation(s): Virginia Polytechnic Institute and State University and Virginia Polytechnic Institute and State University
Address: 401C Hutcheson Hall, Blacksburg, Virginia, 24061-0439, USA
Keywords: multivariate analysis ; environmental stress ; species data ; model evaluation ; graphical assessment ; correspondence analysis
Abstract:

Canonical correspondence analysis is a variant of canonical correlation analysis that is used in environmental studies to assess the relationship between species abundance and environmental stressors. A difficult task is to interpret the relationships from such an analysis. We investigate the use of Bayesian Model Averaging as a tool to aid in the interpretation of relationships using canonical correspondence analysis. Illustrations on data indicate that the method allows investigation of model uncertainty and suggests relationships that may be missed using an ordinary analysis.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2002 program

JSM 2002

For information, contact meetings@amstat.org or phone (703) 684-1221.

If you have questions about the Continuing Education program, please contact the Education Department.

Revised March 2002