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Mostrando publicaciones 1-14 de 14
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A Cobb–Douglas type model with stochastic restrictions: Formulation, local influence diagnostics and data analytics in economics
Cysneiros, Francisco José A.; Leiva, Víctor; Liu, Shuangzhe; Marchant-Fuentes, Carolina; Scalco, Paulo (2019)We propose a methodology for modelling and influence diagnostics in a Cobb–Douglas type setting. This methodology is useful for describing case-studies from economics. We consider stochastic restrictions for the model based ...
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A family of skew-normal distributions for modeling proportions and rates with zeros/ones excess
Martínez-Flórez, Guillermo; Leiva, Víctor; Gómez-Déniz, Emilio; Marchant-Fuentes, Carolina (2020)In this paper, we consider skew-normal distributions for constructing new a distribution which allows us to model proportions and rates with zero/one inflation as an alternative to the inflated beta distributions. The new ...
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A new quantile regression model and its diagnostic analytics for a weibull distributed response with applications
Sánchez, Luis; Leiva, Víctor; Saulo, Helton; Marchant-Fuentes, Carolina; Sarabia, José M. (2021)Standard regression models focus on the mean response based on covariates. Quantile regression describes the quantile for a response conditioned to values of covariates. The relevance of quantile regression is even greater ...
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Birnbaum–Saunders regression models: a comparative evaluation of three approaches
Dasilva, Alan; Dias, Renata; Leiva, Víctor; Marchant-Fuentes, Carolina; Saulo, Helton (2020)This study investigates three regression models based on the Birnbaum–Saunders distribution. The first model is obtained directly through the Birnbaum–Saunders distribution; the second model is obtained via a logarithmic ...
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Discussion of “Birnbaum‐Saunders distribution: A review of models, analysis, and applications” and a novel multivariate data analytics for an economics example in the textile industry
Leiva, Víctor; Aykroyd, Robert G.; Marchant-Fuentes, Carolina (2019) -
Knowledge discovery for higher education student retention based on data mining: Machine learning algorithms and case study in Chile
Palacios Rojas, Carlos; Reyes-Suárez, José A.; Bearzotti, Lorena A.; Leiva, Víctor; Marchant-Fuentes, Carolina (2021)Data mining is employed to extract useful information and to detect patterns from often large data sets, closely related to knowledge discovery in databases and data science. In this investigation, we formulate models based ...
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Monitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chile
Marchant-Fuentes, Carolina; Leiva, Víctor; Christakos, George; Cavieres, M. Fernanda (2019)Particulate matter (PM) pollution is a serious environmental problem. Santiago of Chile is one of the most polluted cities in the world in terms of PM2.5 and PM10. Monitoring of environmental risk is useful for detecting ...
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Multivariate Birnbaum-Saunders distributions: modelling and applications
Aykroyd, Robert G.; Leiva, Víctor; Marchant-Fuentes, Carolina (2018)Since its origins and numerous applications in material science, the Birnbaum–Saunders family of distributions has now found widespread uses in some areas of the applied sciences such as agriculture, environment and medicine, ...
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Partial least squares models and their formulations, diagnostics and applications to spectroscopy
Huerta, Mauricio; Leiva, Víctor; Marchant-Fuentes, Carolina; Rodríguez-Gallardo, Marcelo (2020)Partial least squares (PLS) models are a multivariate technique developed to solve the problem of multicollinearity and/or high dimensionality related to explanatory variables in multiple linear models. PLS models have ...
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Partial least squares models and their formulations, diagnostics and applications to spectroscopy
Huerta, Mauricio; Leiva, Víctor; Marchant-Fuentes, Carolina; Rodríguez-Gallardo, Marcelo (2020)Partial least squares (PLS) models are a multivariate technique developed to solve the problem of multicollinearity and/or high dimensionality related to explanatory variables in multiple linear models. PLS models have ...
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Predicting PM2.5 and PM10 levels during critical episodes management in Santiago, Chile, with a bivariate Birnbaum-Saunders log-linear model
Puentes, Rodrigo; Marchant-Fuentes, Carolina; Leiva, Víctor; Figueroa-Zúñiga, Jorge I.; Ruggeri, Fabrizio (2021)Improving air quality is an important environmental challenge of our time. Chile currently has one of the most stable and emerging economies in Latin America, where human impact on natural resources and air quality does ...
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Robust multivariate control charts based on Birnbaum–Saunders distributions
Cysneiros, Francisco José A.; Leiva, Víctor; Marchant-Fuentes, Carolina; Liu, Shuangzhe (2018)Multivariate control charts are powerful and simple visual tools for monitoring the quality of a process. This multivariate monitoring is carried out by considering simultaneously several correlated quality characteristics ...
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Semiparametric additive beta regression models: Inference and local influence diagnostics
Ibacache-Pulgar, Germán; Figueroa-Zúñiga, Jorge I.; Marchant-Fuentes, Carolina (2021)In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous ...
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Sobrecarga, equivocación, falta de capacitación: factores contribuyentes en errores de medicación en hospital público chileno
Poblete, Margarita ; Miño-González, Carmen; Marchant-Fuentes, Carolina; Arancibia-Pacheco, María Teresa (2021)Objetivo: Analizar errores de medicación notificados en 2018 en un hospital público de alta complejidad chileno. Metodología: Estudio cuantitativo, retrospectivo, descriptivo y correlacional. Se analizaron las variables ...