کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10524899 957763 2012 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimal predictive design augmentation for spatial generalised linear mixed models
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Optimal predictive design augmentation for spatial generalised linear mixed models
چکیده انگلیسی
A typical model for geostatistical data when the observations are counts is the spatial generalised linear mixed model. We present a criterion for optimal sampling design under this framework which aims to minimise the error in the prediction of the underlying spatial random effects. The proposed criterion is derived by performing an asymptotic expansion to the conditional prediction variance. We argue that the mean of the spatial process needs to be taken into account in the construction of the predictive design, which we demonstrate through a simulation study where we compare the proposed criterion against the widely used space-filling design. Furthermore, our results are applied to the Norway precipitation data and the rhizoctonia disease data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 142, Issue 12, December 2012, Pages 3242-3253
نویسندگان
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