Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Otoniel Walle-García"'
Autor:
Fernando Saldaña-Jiménez, Francisco Javier Almaguer-Martínez, Francisco Hernández-Cabrera, José Abraham Morales-Vidales, M. Valentina I. Soto-Rocha, Otoniel Walle-García
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27962- (2024)
Objectives: This study aims to analyze and compare the main risk factors for hospitalization and deaths due to COVID-19 during the six epidemic waves from February 2020 to June 2023 in Mexico. Methods: First, a descriptive analysis of the risk factor
Externí odkaz:
https://doaj.org/article/a5efcb783c464b39967e57067642ddb2
Autor:
Mario A. Aguirre-López, Miguel Angel Rodríguez-González, Roberto Soto-Villalobos, Laura Elena Gómez-Sánchez, Ángela Gabriela Benavides-Ríos, Francisco Gerardo Benavides-Bravo, Otoniel Walle-García, María Gricelda Pamanés-Aguilar
Publikováno v:
Atmosphere, Vol 13, Iss 2, p 297 (2022)
Air-quality monitoring and analysis are initial parts of a comprehensive strategy to prevent air pollution in cities. In such a context, statistical tools play an important role in determining the time-series trends, locating areas with high pollutan
Externí odkaz:
https://doaj.org/article/63a8edd6c70d406b8847c8d7b5a9fd27
Autor:
Francisco Gerardo Benavides-Bravo, Dulce Martinez-Peon, Ángela Gabriela Benavides-Ríos, Otoniel Walle-García, Roberto Soto-Villalobos, Mario A. Aguirre-López
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2656 (2021)
When conducting an analysis of nature’s time series, such as meteorological ones, an important matter is a long-range dependence to quantify the global behavior of the series and connect it with other physical characteristics of the region of study
Externí odkaz:
https://doaj.org/article/060f5489803d40dfba3dcf73e58aeebd
Autor:
Roberto Soto-Villalobos, Dulce Martinez-Peon, Francisco Gerardo Benavides-Bravo, Ángela Gabriela Benavides-Ríos, Otoniel Walle-García, Mario A. Aguirre-López
Publikováno v:
Mathematics, Vol 9, Iss 2656, p 2656 (2021)
When conducting an analysis of nature’s time series, such as meteorological ones, an important matter is a long-range dependence to quantify the global behavior of the series and connect it with other physical characteristics of the region of study