ECORFAN®

Journal of Quantitative and Statistical Analysis
Volume 11 Number 28 - Junuary-December 2024

Evaluation of the grinding performance at the Saucito I Plant and optimization of the Knelson QS30 gravimetric concentrator
Contreras-Pimentel, Luís Ángel, Nájera-López, Aimeé Nataly, Villegas-Martínez, Rodrigo Cervando and García-González, Juan Manuel

Wind speed forecasting one step ahead using different input vectors in a neural network
Cadenas, Erasmo, Méndez, Alma-Rosa, Arreola, Sixtos-Antonio and Campos, Rafael

Implementation of DMAIC Methodology in a production line of the brewing industry
Colorado-Issa, Cinthia Judith, López-Acosta, Mauricio, Chacara-Montes, Allán and García-Vilches, Susana

Estimation of lithium-ion battery state of health using an ensemble model integrated with random forest and linear regression techniques
Medina-Martínez, Sergio Iván, Juárez-Toledo, Carlos and Martínez-Carrillo, Irma

Optimization of 3D Printing Quality in Construction Applied in the field of Building in Huichapan, Hgo.
Trejo-Torres, Zaira Betzabeth, Rodríguez-Uribe, Juan Carlos and Benitez-Alonso, Margarita
Instituto Tecnológico Superior de Huichapan

Device for agile manufacturing of medical hose: solution for micro-enterprises
Mendoza-Razo, Juan Arturo, Martínez-Torres, Rosa Elia, De León-Lomelí, Roxana and Acuña-Mancilla, Arturo
Instituto Tecnológico de San Luis Potosí

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Journal of Quantitative and Statistical Analysis, Volume 6, Number 19, December-2019, is a quarterly Journal edited by ECORFAN-Bolivia. Santa Lucia N-21, Barrio Libertadores, Cd. Sucre. Chuquisaca, Bolivia, http://www.ecorfan.org/bolivia/rj_analisis_cuantitativo.php, revista@ecorfan.org. Editor in Chief: Ramos Escamilla-María, Co-editor: Serrudo González-Javier. ISSN: 2410-3438. Responsible for the last update of this issue ECORFAN Computer Unit. Imelda Escamilla Bouchán, PhD. Vladimir Luna Soto, PhD. Updated as of December 31, 2019. The opinions expressed by the authors do not necessarily reflect the views of the publisher of the publication. It is strictly forbidden the total or partial reproduction of the contents and images of the publication without permission of the National Institute of Copyright.