This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
118
|
Type:
|
Topic Contributed
|
Date/Time:
|
Monday, August 2, 2010 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Statistics and the Environment
|
Abstract - #308744 |
Title:
|
Nonparametric Cross Covariogram for Multivariate Geostatistics
|
Author(s):
|
Hao Zhang*+
|
Companies:
|
Purdue University
|
Address:
|
250 N University St, West Lafayette, IN, 47907, USA
|
Keywords:
|
spatial statistics ;
cross covariogram ;
covariogram
|
Abstract:
|
Multivariate data are observed in many studies and often modeled by a multivariate spatial process. It is of practical interest to model the cross covariograms. Although parametric cross covariograms have been developed, inferences about the model parameters become more complex due to the increased number of parameters in the multivariate model. We provide a non-parametric alternative so that the cross covariograms introduce no additional parameters, thus facilitating simpler inferences and the handling of large multivariate data sets. We will compare the predictive performance of this non-parametric approach to some existing models.
|
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.