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- Title
Analysis of non-separable spatiotemporal data with application to enterovirus study in Taiwan.
- Authors
Lin, Pei-Sheng; Hsiung, Chao; Cheng, Chia-Wei
- Abstract
We propose an estimation procedure to incorporate non-separable spatiotemporal correlation into a generalized linear mixed model. The motivation of this paper is from a study of enterovirus infection with spatial-temporal correlation. The proposed method underlying a working estimating equation comes from a generalization of weighted least squares approaches. With an iterative two-stage estimation procedure, we may address the non-identifiability problem caused by latent random effects. Under certain regularity conditions, we show that the proposed estimate has consistency and asymptotic normality for spatiotemporal data. We also conduct a model-based simulation and apply the method to the enterovirus data in Taiwan.
- Subjects
TAIWAN; SPATIOTEMPORAL processes; ESTIMATION theory; ENTEROVIRUS diseases; GENERALIZED method of moments
- Publication
Environmental & Ecological Statistics, 2014, Vol 21, Issue 4, p733
- ISSN
1352-8505
- Publication type
Article
- DOI
10.1007/s10651-014-0278-3