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Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models

Authors

Adin, A.; Martínez-Beneito, M.A.; Botella-Rocamora, P.; Goicoa, T.; Ugarte, M.D.

Journal

   Stoch Env Res Risk A
   Volume 31
   Issue 2
   Pages 403 to 415
   Year 2017

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BIbTex format
@article{
title={Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models},
author={Adin, A. and Martínez-Beneito, M.A. and Botella-Rocamora, P. and Goicoa, T. and Ugarte, M.D.},
journal={Stoch Env Res Risk A},
year={2017},
volume={31},
number={2},
pages={403-415},
doi={},
}
RIS format (for Reference Manager, ProCite, EndNote)
TY - JOUR
T1 - Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models
AU - Adin, A.
AU - Martínez-Beneito, M.A.
AU - Botella-Rocamora, P.
AU - Goicoa, T.
AU - Ugarte, M.D.
TI - Stoch Env Res Risk A
PY - 2017
VL - 31
M1 - 2
SP - 403-415
DO -
ER -
RefWorks format
RT Journal Article
T1 Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models
A1 Adin, A.
A1 Martínez-Beneito, M.A.
A1 Botella-Rocamora, P.
A1 Goicoa, T.
A1 Ugarte, M.D.
JF Stoch Env Res Risk A
YR 2017
VO 31
IS 2
SP 403-415
DO

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