Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1150236 | Journal of Statistical Planning and Inference | 2010 | 8 Pages |
Abstract
This paper proposes a working estimating equation which is computationally easy to use for spatial count data. The proposed estimating equation is a modification of quasi-likelihood estimating equations without the need of correctly specifying the covariance matrix. Under some regularity conditions, we show that the proposed estimator has consistency and asymptotic normality. A simulation comparison also indicates that the proposed method has competitive performance in dealing with over-dispersion data from a parameter-driven model.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Pei-Sheng Lin,