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Activity Number: 274
Type: Contributed
Date/Time: Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and the Environment
Abstract - #304938
Title: Sequential Sampling with Spatial Generalized Linear Mixed Model with Application to Pest Density Assessment
Author(s): Judy X. Li*+ and Daniel Jeske
Companies: University of California, Riverside and University of California, Riverside
Address: Department of Statistics, Riverside, CA, 92507,
Keywords: Spatial Count Data ; Sequential Hypothesis Testing ; GLMM ; Pseudo Likelihood
Abstract:

Both spatial linear model and generalized linear mixed model (GLMM) are applied to sequential hypothesis testing to fit pest count data. Different options of sequential hypothesis tests and sampling schemes were compared. In order to implement the sequential test within the proposed GLMM framework, pseudo likelihood (PL) approach is investigated.

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