Listar por materia "Bootstrapping"
Mostrando publicaciones 1-3 de 3
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Monitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chile
(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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On a partial least squares regression model for asymmetric data with a chemical application in mining
(2019)In chemometrical applications, covariates in regression models are often correlated, causing a collinearity problem that can be solved by partial least squares (PLS) regression. In addition, high dimensionality in the space ...
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Robust multivariate control charts based on Birnbaum–Saunders distributions
(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 ...