Oxygen Uptake Plateau Diagnosis Using a New Developed Segmented Regression Estimation Method for Autocorrelated Data

Autor: Paulo H. S. M. Azevedo, Silvio Cabral Patricio, Alessandro José Queiroz Sarnaglia, Fabio Fajardo Molinares

Publikováno v: IEEE Transactions on Biomedical Engineering. 68:3281-3289

Objective: Some proposals for oxygen uptake plateau identification are based on linear regression adaptations. However, linear regression does not adequately explain the oxygen uptake nonlinear dynamics. Recently, segmented regression was considered

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57f55ec70fd9b5ba06209981aa65c28e
https://doi.org/10.1109/tbme.2021.3069458

Robust estimation of fractional seasonal processes: Modeling and forecasting daily average SO2 concentrations

Autor: Glaura C. Franco, Adriano Marcio Sgrancio, Flávio Augusto Ziegelmann, Pascal Bondon, Fabio Fajardo Molinares, Bovas Abraham, Valdério Anselmo Reisen, Edson Zambon Monte

Publikováno v: Mathematics and Computers in Simulation
Mathematics and Computers in Simulation, Elsevier, 2018, 146, pp.27-43. ⟨10.1016/j.matcom.2017.10.004⟩

This paper deals with the estimation of seasonal long-memory time series models in the presence of ‘outliers’. It is long known that the presence of outliers can lead to undesirable effects on the statistical estimation methods, for example, subs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d06754c1ceeae86573ec599cf5fad666
https://doi.org/10.1016/j.matcom.2017.10.004

A geometric time series model with inflated-parameter Bernoulli counting series

Autor: Patrick Borges, Fabio Fajardo Molinares, Marcelo Bourguignon

Publikováno v: Statistics & Probability Letters. 119:264-272

In this paper, we propose a new stationary first-order non-negative integer valued autoregressive [INAR(1)] process with geometric marginals based on a modified version of the binomial thinning operator. This new process will enable one to tackle the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::089c8e23baac1b1155b9dc8986c155c6
https://doi.org/10.1016/j.spl.2016.08.012

Modelagem de Séries Temporais Sazonais na Presença de Ooutliers Estudo de Caso da Vazão Máxima Mensal do Rio Jucu, ES, Brasil

Autor: Edmilson Teixeira, Valdério Anselmo Reisen, Fabio Fajardo Molinares

Publikováno v: Revista Brasileira de Recursos Hídricos. 13:45-53

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8afefb30771368d2091bc2d991a4ad63
https://doi.org/10.21168/rbrh.v13n2.p45-53