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  • A beta partial least squares regression model: Diagnostics and application to mining industry data 

    Huerta, Mauricio; Leiva, Víctor; Lillo, Camilo; Rodríguez-Gallardo, Marcelo (2018)
    We propose a methodology based on partial least squares (PLS) regression models using the beta distribution, which is useful for describing data measured between zero and one. The beta PLS model parameters are estimated ...

  • On a partial least squares regression model for asymmetric data with a chemical application in mining 

    Huerta, Mauricio; Leiva, Víctor; Liu, Shuangzhe; Rodríguez-Gallardo, Marcelo; Villegas, Danny (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 ...

  • On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data 

    Castro-Kuriss, Claudia; Huerta, Mauricio; Leiva, Víctor; Tapia, Alejandra (2020)
    In this work, we present goodness-of-fit tests related to the Kolmogorov-Smirnov and Michael statistics and connect them to graphical methods with uncensored and censored data. The Anderson-Darling test is often empirically ...

  • 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 ...

  • 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 ...

Sistema de Bibliotecas de la Universidad Católica del Maule, 2017
Campus San Miguel, Talca. Teléfono (56) (71) 2-203 359
Campus Nuestra Señora del Carmen, Curicó. Teléfono (56) (75) 2203 111
Campus San Isidro, Los Niches. Teléfono (56) (75) 2203 617