Buscar
Mostrando ítems 1-10 de 1057
Application of k-means clustering, linear discriminant analysis and multivariate linear regression for the development of a predictive QSAR model on 5-lipoxygenase inhibitors
(Elsevier Science, 2015-04)
In this work, we performed a quantitative structure activity relationship (QSAR) model for a family of 5-lipoxygenase (5-LOX) inhibitors using k-means clustering and linear discriminant analysis (LDA) for the selection of ...
Vector dot product used for reduced three independent variables of multivariate regression to a linear regression with one independent variable. Alcohols used like a model
(SOC CHILENA QUIMICA, 2007-09)
The aim of this work is based in the reduction of independent variables in multivariate regression analysis to one by means a vector dot product (E-3). By this way, it is omit the orthogonalized procedure to obtained valid ...
Support vector regression for functional data in multivariate calibration problems
(Elsevier Science BvAmsterdamHolanda, 2009)
Bayesian non-linear regression models with skew-elliptical errors: Applications to the classification of longitudinal profiles
(ELSEVIER, 2008)
Typically, the fundamental assumption in non-linear regression models is the normality of the errors. Even though this model offers great flexibility for modeling these effects, it suffers from the same lack of robustness ...
Adulteration of Argentinean milk fats with animal fats: Detection by fatty acids analysis and multivariate regression techniques
(Elsevier, 2016-07)
The aims of the present study were to test the accuracy of the fatty acid ratios established by the Argentinean Legislation to detect adulterations of milk fat with animal fats and to propose a regression model suitable ...
The optimal brain surgeon for pruning neural network architecture applied to multivariate calibration
(Elsevier Science BvAmsterdamHolanda, 1998)
Bayesian inference in spherical linear models: robustness and conjugate analysis
(ELSEVIER INC, 2006)
The early work of Zellner on the multivariate Student-t linear model has been extended to Bayesian inference for linear models with dependent non-normal error terms, particularly through various papers by Osiewalski, Steel ...
Partitioning the efficiency of utilization of amino acids in growing broilers: Multiple linear regression and multivariate approaches
(2018-12-01)
Determining the efficiency of amino acid (AA) utilization in growing animals is crucial to estimate their requirement accurately. In broiler chickens, the composition of AA in feather is different from feather-free body ...