This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
428
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Section on Statistics and the Environment
|
Abstract - #307785 |
Title:
|
Application of Partial Least Squares (PLS) Regression to Determine
|
Author(s):
|
Maliha S. Nash*+ and Ricardo D. Lopez
|
Companies:
|
U.S. Environmental Protection Agency and U.S. Environmental Protection Agency
|
Address:
|
944 E. Harmon, Las Vegas, NV, 89119-6748, USA
|
Keywords:
|
PLS ;
CI ;
Landscape ;
E. Coli ;
surface water ;
Ozark
|
Abstract:
|
Partial least squares (PLS) analysis offers a number of advantages over the traditionally used regressions applied in landscape ecology to study the associations among constituents of surface water and landscapes. Common data problems in ecological studies include: small samples, a large number of predictors, correlated variables, etc. We present here the application of PLS regression for predicting in situ surface water Escherichia coli counts from landscape metrics. The amount of variability in surface water constituents explained by each model reflects the composition of the contributing landscape metrics. The predicted values and their confidence intervals are used to explain how land cover type, configuration, and associated human activities may affect the abundance of E.coli in surface waters of the Upper White River region of the Ozark Mountains.
|
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 2010 program
|
2010 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.