Author: Moritz Mercker; Uwe Betzin; Dennis Wilken
Title: What influences COVID-19 infection rates: A statistical approach to identify promising factors applied to infection data from Germany Document date: 2020_4_17
ID: 09nvausz_31
Snippet: Spatial distribution of the different β-values is shown in Fig. 4 . In the first row, the spatial raw data of the estimated β-values are shown. Sub-figures in the second row are based on spatial GAMM-plots, where the number of knots (= degrees of freedom) for the thin-plate regression spline has been fixed to k = 35 in all three plots. The aim is to obtain optimal comparability among the spatial distributions of β 1 , β 2 , and β 3 . In the .....
Document: Spatial distribution of the different β-values is shown in Fig. 4 . In the first row, the spatial raw data of the estimated β-values are shown. Sub-figures in the second row are based on spatial GAMM-plots, where the number of knots (= degrees of freedom) for the thin-plate regression spline has been fixed to k = 35 in all three plots. The aim is to obtain optimal comparability among the spatial distributions of β 1 , β 2 , and β 3 . In the third row, we present the optimal number of knots estimated separately for each β-value based on generalised cross-validation.
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