Zobrazeno 1 - 7
of 7
pro vyhledávání: '"John A. Ramirez-Figueroa"'
Autor:
Carlos Martin-Barreiro, Xavier Cabezas, Víctor Leiva, Pedro Ramos-De Santis, John A. Ramirez-Figueroa, Erwin J. Delgado
Publikováno v:
AIMS Mathematics, Vol 8, Iss 10, Pp 22693-22713 (2023)
Many studies have been performed in different regions of the world as a result of the COVID-19 pandemic. In this work, we perform a statistical study related to the number of vaccinated cases and the number of deaths due to COVID-19 in ten South Amer
Externí odkaz:
https://doaj.org/article/d82d8c9d8e5c47b4a97188bf2028a5d1
Autor:
Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Xavier Cabezas, Victor Leiva, Ana Martin-Casado, M. Purificación Galindo-Villardón
Publikováno v:
Mathematics, Vol 9, Iss 17, p 2058 (2021)
In this paper, we extend the use of disjoint orthogonal components to three-way table analysis with the parallel factor analysis model. Traditional methods, such as scaling, orthogonality constraints, non-negativity constraints, and sparse techniques
Externí odkaz:
https://doaj.org/article/a592f1c3b52e43629176b81e3bf0250a
Autor:
Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Xavier Cabezas, Víctor Leiva, M. Purificación Galindo-Villardón
Publikováno v:
Sensors, Vol 21, Iss 12, p 4094 (2021)
In this paper, we group South American countries based on the number of infected cases and deaths due to COVID-19. The countries considered are: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Peru, Paraguay, Uruguay, and Venezuela. The data us
Externí odkaz:
https://doaj.org/article/416b6519797d40a58e0486987be8e62c
Autor:
Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Ana B. Nieto-Librero, Víctor Leiva, Ana Martin-Casado, M. Purificación Galindo-Villardón
Publikováno v:
Mathematics, Vol 9, Iss 3, p 203 (2021)
One of the main drawbacks of the traditional methods for computing components in the three-way Tucker model is the complex structure of the final loading matrices preventing an easy interpretation of the obtained results. In this paper, we propose a
Externí odkaz:
https://doaj.org/article/318e862cdabd41fbac2f6164dfe716a1
Autor:
Carlos Martin-Barreiro, Ana B. Nieto-Librero, M. Purificación Galindo-Villardón, Víctor Leiva, John A. Ramirez-Figueroa
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 35:1969-1984
In this paper, we propose a new method for disjoint principal component analysis based on an intelligent search. The method consists of a principal component analysis with constraints, allowing us to determine components that are linear combinations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1b5595875a86af0106bf54158beb7a1
https://doi.org/10.1007/s00477-020-01961-3
https://doi.org/10.1007/s00477-020-01961-3
Autor:
Víctor Leiva, M. Purificación Galindo-Villardón, Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Xavier Cabezas
Publikováno v:
Sensors
Volume 21
Issue 12
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4094, p 4094 (2021)
Volume 21
Issue 12
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4094, p 4094 (2021)
In this paper, we group South American countries based on the number of infected cases and deaths due to COVID-19. The countries considered are: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Peru, Paraguay, Uruguay, and Venezuela. The data us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8eb7b3be00cc20ea4197e30643da58d
https://pubmed.ncbi.nlm.nih.gov/34198627
https://pubmed.ncbi.nlm.nih.gov/34198627
Autor:
Víctor Leiva, John A. Ramirez-Figueroa, Xavier Cabezas, M. Purificación Galindo-Villardón, Ana Martin-Casado, Carlos Martin-Barreiro
Publikováno v:
Mathematics
Volume 9
Issue 17
Mathematics, Vol 9, Iss 2058, p 2058 (2021)
Volume 9
Issue 17
Mathematics, Vol 9, Iss 2058, p 2058 (2021)
In this paper, we extend the use of disjoint orthogonal components to three-way table analysis with the parallel factor analysis model. Traditional methods, such as scaling, orthogonality constraints, non-negativity constraints, and sparse techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90f5f24268186ac0f29a40174ce586b6
https://doi.org/10.3390/math9172058
https://doi.org/10.3390/math9172058