Tutorial on kernel estimation of continuous spatial and spatiotemporal relative risk.
Kernel smoothing is a highly flexible and popular approach for estimation of probability density and intensity functions of continuous spatial data. In this role, it also forms an integral part of estimation of functionals such as the density-ratio or "relative risk" surface. Originally developed wi...
| Publicado en: | Statistics in Medicine Vol. 37; no. 7; pp. 1191 - 1222 |
|---|---|
| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
3/30/2018
|
| Acceso en línea: | Ver este registro en EBSCOhost |