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dc.contributor.authormendoza lizcano, sonia maritza
dc.contributor.authorPalacios Alvarado, W
dc.contributor.authorMedina Delgado, Byron
dc.description.abstractIn the combustion processes of the ceramic industry, large amounts of pollutant gas concentration are generated, so it is necessary to measure the system and the physical phenomenon, as well as the variables inherent to the process, for subsequent estimation in terms of physical magnitudes, and a dimensional analysis, this allows to generate approximations in the causal relationships of the variables. The objective of the research is to analyze the behavior of the variables involved in the process and the influence of the mass flows of polluting gases. An exploratory and experimental methodology was used, for this, the data were taken with the technique of direct measurement in the sources of gas emissions and subsequently subjected to simulation in software such as AMOS V24.0 and LISREL V8.8., on the other hand, the data were subjected to an exploratory and confirmatory factorial analysis, using SPSS software version 24.0. As a result, the variables capacity and production are practically identical, which leads to a high correlation and, consequently, an undesired multicollinearity between the variables, so the suggestion is to omit one of them. On the other hand, the sulfur percentage variable is inversely correlated with most of the variables and its saturation is not clear, so it is theoretically sustained as a latent variable of the SO2 indicator.eng
dc.format.extent08 Páginasspa
dc.relation.ispartofJournal of Physics: Conference Series. Vol. 1981 No.012012 (2021)
dc.rights© Published under licence by IOP Publishing Ltd.eng
dc.titleAnalysis of variables related to the mass flow of gaseous emissions in beehive ovenseng
dc.typeArtículo de revistaspa
dcterms.referencesSuárez C A A 2012 Revista Luna Azul (34) 195spa
dcterms.referencesAvendaño Castro W R, Rueda Vera G, Paz Montes L S 2016 Revista Finanzas y Política Económica 8(1) 123spa
dcterms.referencesRuiz M A, Pardo A, San Martín R 2010 Papeles del Psicólogo 31(1) 34-35spa
dcterms.referencesMedrano L A, Muñoz Navarro R 2017 Revista Digital de Investigación en Docencia Universitaria 11(1) 219spa
dcterms.referencesManzano Patiño A P 2018 Investigación en Educación Médica 7(25) 67spa
dcterms.referencesFernández Araúz A F 2020 Comparación Entre Modelos de Datos Multinivel a Través de Ecuaciones Estructurales con Estimación Bayesiana y Pequeñas Varianzas a Priori en las Cargas Factoriales Cruzadas (Costa Rica: Universidad de Costa Rica)spa
dcterms.referencesDe Armas M I Z, Carrillo L E B, Castrilló M A G 2020 Orinoquia 24(1) 94spa
dcterms.referencesSmid S C, McNeish D, Miočević M, Van de Schoot R 2020 Structural Equation Modeling: A Multidisciplinary Journal 27(1) 131spa
dcterms.referencesWang Y A, Rhemtulla M 2021 Advances in Methods and Practices in Psychological Science 4(1) 1spa
dcterms.referencesLindstrøm J C, Dahl F A 2020 Structural Equation Modeling: A Multidisciplinary Journal 27(1) 33spa
dcterms.referencesHwang H, Sarstedt M, Cheah J H, Ringle C M 2020 Behaviormetrika 47(1) 219spa
dc.contributor.corporatenameJournal of Physics: Conference Seriesspa
dc.publisher.placeReino Unidospa
dc.relation.citationeditionVol. 1981 N0.012012 (2021)spa
dc.relation.citationissue012012 (2021)spa
dc.relation.citesS M Mendoza–Lizcano et al 2021 J. Phys.: Conf. Ser. 1981 012012
dc.relation.ispartofjournalJournal of Physics: Conference Seriesspa
dc.rights.creativecommonsAtribución 4.0 Internacional (CC BY 4.0)spa

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