This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 577
Type: Topic Contributed
Date/Time: Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #308994
Title: An Emprical Likelihood Method for Irregular Spatial Data
Author(s): Dan Nordman*+
Companies: Iowa State University
Address: Dept of Statistics, Snedecor Hall, Ames, IA, 50010,
Keywords: Data blocking ; Estimating equations ; Mixed spatial asymptotics ; Random Field
Abstract:

This talk will consider an empirical likelihood formulation for irregularly spaced spatial data, where the data are generated by a stationary random field observed at sites described by a stochastic sampling design. The method allows inference on spatial parameters described by general estimating equations. Under a large class of spatial dependence structures, log-likelihood ratios are shown to have chi-square limits for calibrating tests and confidence regions and maximum empirical likelihood estimators permit parameter estimation and testing of spatial moment conditions.


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.