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Sarnaglia, Alessandro J.Q.
8  Ergebnisse:
Personensuche X
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1

Robust segmented regression: application to oxygen uptake p..:

Sarnaglia, Alessandro J. Q. ; Fajardo Molinares, Fabio A. ; Azevedo, Paulo H. S. M.
Environmental and Ecological Statistics.  30 (2023)  4 - p. 625-648 , 2023
Link: https://doi.org/10.1007/..
 
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2

Correcting notification delay and forecasting of COVID-19 d..:

Sarnaglia, Alessandro J.Q. ; Zamprogno, Bartolomeu ; Fajardo Molinares, Fabio A...
Journal of Mathematical Analysis and Applications.  514 (2022)  2 - p. 125202 , 2022
Link: https://doi.org/10.1016/..
 
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3

Estimating critical level of $$\hbox {PM}_{{10}}$$ to affec..:

Sarnaglia, Alessandro J. Q. ; Godoi, Luciana G. ; Rodrigues, Mariana C.
Stochastic Environmental Research and Risk Assessment.  35 (2021)  10 - p. 2031-2048 , 2021
Link: https://doi.org/10.1007/..
 
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4

Robust estimation of periodic autoregressive processes in t..:

Sarnaglia, A.J.Q. ; Reisen, V.A. ; Lévy-Leduc, C.
Journal of Multivariate Analysis.  101 (2010)  9 - p. 2168-2183 , 2010
Link: https://doi.org/10.1016/..
 
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5

M-regression spectral estimator for periodic ARMA models. A..:

Sarnaglia, Alessandro José Queiroz ; Reisen, Valdério Anselmo ; Bondon, Pascal.
Stochastic Environmental Research and Risk Assessment.  35 (2021)  3 - p. 653-664 , 2021
Link: https://doi.org/10.1007/..
 
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6

Modeling and forecasting daily maximum hourly ozone concent..:

Sarnaglia, Alessandro José Queiroz ; Monroy, Nátaly Adriana Jiménez ; da Vitória, Arthur Gomes
Environmental and Ecological Statistics.  25 (2018)  4 - p. 443-469 , 2018
Link: https://doi.org/10.1007/..
 
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7

Modeling and forecasting daily average PM10 concentrations ..:

Reisen, Valdério Anselmo ; Sarnaglia, Alessandro José Queiroz ; Reis Jr., Neyval Costa..
Environmental Modelling & Software.  51 (2014)  - p. 286-295 , 2014
Link: https://doi.org/10.1016/..
 
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8

Empirical study of robust estimation methods for PAR models..:

Solci, Carlo Corrêa ; Anselmo Reisen, Valdério ; Queiroz Sarnaglia, Alessandro José.
Communications in Statistics - Theory and Methods.  49 (2019)  1 - p. 152-168 , 2019
Link: https://doi.org/10.1080/..
 
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