Use of multivariate time series techniques to estimate the impact of particulate matter on the perceived annoyance

Milena Machado; Valdério Reisen; Jane Meri Santos; Neyval Costa Reis Júnior; Séverine Frère; Pascal Bondon; Márton Ispány; Higor Cotta

doi:10.1016/j.atmosenv.2019.117080

Journal articles

Use of multivariate time series techniques to estimate the impact of particulate matter on the perceived annoyance

Milena Machado ¹ Valdério Reisen ² Jane Meri Santos ³ Neyval Costa Reis Júnior ⁴ Séverine Frère ⁵ Pascal Bondon ⁶ Márton Ispány ⁷ Higor Cotta

1 IFES - Federal Institute of Education, Science and Technology of Espírito Santo

2 UFES - Departamento de Estatística

3 Universidade Federal do Espírito Santo

4 UFES - Universidade Federal do Espirito Santo

5 TVES - Territoires, Villes, Environnement & Société - ULR 4477

6 L2S - Laboratoire des signaux et systèmes

7 University of Debrecen [Hungary]

Document type :

Journal articles

Domain :

Statistics [stat] / Statistics Theory [stat.TH]

Complete list of metadata

https://hal-centralesupelec.archives-ouvertes.fr/hal-02501972
Contributor : Pascal Bondon Connect in order to contact the contributor
Submitted on : Friday, August 20, 2021 - 8:22:12 PM
Last modification on : Tuesday, August 16, 2022 - 2:44:26 PM
Long-term archiving on: : Sunday, November 21, 2021 - 9:13:07 PM

Use of multivariate time series techniques to estimate the impact of particulate matter on the perceived annoyance

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Use of multivariate time series techniques to estimate the impact of particulate matter on the perceived annoyance

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