• Inicio
  • Acerca de
  • Formulario Contacto
  • Sibib
  • Login
Listar por materia 
  •   Repositorio Universidad Católica del Maule
  • Listar por materia
  •   Repositorio Universidad Católica del Maule
  • Listar por materia
JavaScript is disabled for your browser. Some features of this site may not work without it.

Listar

Todo Repositorio UCMComunidades & ColeccionesPor fecha de publicaciónAutoresTítulosMaterias

Mi cuenta

AccederRegistro

Listar por materia "Mahalanobis distance"

  • 0-9
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

Ordenar por:

Orden:

Resultados:

Mostrando publicaciones 1-5 de 5

  • título
  • fecha de publicación
  • fecha de envío
  • ascendente
  • descendente
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
  • 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 ...

  • 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 ...

  • 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 ...

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