Generalized additive models with principal component analysis: an application to time series of respiratory disease and air pollution data-Reference-Cited by-同舟云学术

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Generalized additive models with principal component analysis: an application to time series of respiratory disease and air pollution data

Published:2017-09-18 Issue:2 Volume:67 Page:453-480
ISSN:0035-9254
Container-title:Journal of the Royal Statistical Society: Series C (Applied Statistics)
language:en
Short-container-title:J. R. Stat. Soc. C

Author:

de Souza Juliana B.¹,Reisen Valdério A.¹²,Franco Glaura C.³,Ispány Márton⁴,Bondon Pascal⁵,Santos Jane Meri¹

Affiliation:

1. Federal University of Espírito Santo; Vitória Brazil

2. CentraleSupélec; Gif-sur-Yvette France

3. Federal University of Minas Gerais; Belo Horizonte Brazil

4. University of Debrecen; Hungary

5. Centre National de la Recherche Scientifique and CentraleSupélec, Gif-sur-Yvette; and University of Paris-Saclay; France

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/rssc.12239/fullpdf

Reference38 articles.

1. Air pollution and respiratory diseases among children in the city of Curitiba, Brazil;Bakonyi;Rev. Saude Publ.,2004

2. Comparing estimates of the effects of air pollution on human mortality obtained using different regression methodologies;Baxter;Risk Anal.,1997

3. Time Series: Theory and Methods

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