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Activity Number: 127
Type: Invited
Date/Time: Monday, August 7, 2006 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract - #304893
Title: Geostatistical Modeling: Model Selection and Parameter Estimation
Author(s): Jennifer A. Hoeting*+
Companies: Colorado State University
Address: Department of Statistics, Fort Collins, CO, 80526-1877,
Keywords: Aikaike information criterion ; model selection ; spatial correlation ; matern and exponential autocorrelation function
Abstract:

Spatial correlation often is ignored in the selection of explanatory variables and can influence model selection results. We show that using AIC for a geostatistical model is superior to the more traditional approach of ignoring spatial correlation in the selection of explanatory variables. We explore several key asymptotic assumptions required for AIC, related to properties of the parameter estimates. We provide simulations that support the theoretical results and discuss implications of these results for designing sampling plans and implementing model selection for geospatial data. Software for implementing the geostatistical model selection methods described is available at www.stat.colostate.edu/~jah.

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