Spatial prediction of counts and rates
Spatial prediction of counts and rates
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DOI：
10.1002/sim.1523
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发表时间：
2003-05-15
影响因子：
2
通讯作者：
Wolfinger, RD
中科院分区：
文献类型：
--
作者：
Gotway, CA;Wolfinger, RD
In this paper we provide both theoretical and empirical comparisons of marginal and conditional methods for analysing spatial count data. We focus on methods for spatial prediction developed from a generalized linear mixed model framework and compare them with the traditional linear (kriging) predictor. Prediction methods are illustrated and compared through a case study based on real data and through a detailed simulation study. The paper emphasizes a better understanding of the strengths and weaknesses of each approach. Published in 2003 by John Wiley Sons, Ltd.
