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Neural networks as an optimization tool for regression
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2019-09-02)
Neural networks are a tool to solve prediction problems that have gained much prominence recently. In general, neural networks are used as a predictive method, that is, their are used to estimate a regression function. ...
Regression models based on new local strategies for near infrared spectroscopic data
(Elsevier Science, 2016-08)
In this work, a comparative study of two novel algorithms to perform sample selection in local regression based on Partial Least Squares Regression (PLS) is presented. These methodologies were applied for Near Infrared ...
Estimation of Electric Demand from Electric Vehicles Using Spatial Regressions
(2019-09-01)
The acquisition of electric vehicles depends on socioeconomic factors and does not occur homogeneously in the different zones of urban areas for the early years of the electric vehicles penetrations. The concentration of ...
Induced OWA operators in linear regression
(IOS Press, 2020)
The induced ordered weighted average (IOWA) is an aggregation operator that provides a parameterized family of operators between the minimum and the maximum. This work presents a new application that uses the simple linear ...
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 ...
Estimating the aboveground biomass and wood volume of savanna woodlands in Brazil's Pantanal wetlands based on allometric correlations
(Elsevier B.V., 2006-06-15)
The quantity and distribution of vegetal biomass are important aspects to consider in ecosystem studies. However, little information is available about Brazil's Pantanal woodland savannas. This work involved the development ...
Estimating the aboveground biomass and wood volume of savanna woodlands in Brazil's Pantanal wetlands based on allometric correlations
(Elsevier B.V., 2006-06-15)
The quantity and distribution of vegetal biomass are important aspects to consider in ecosystem studies. However, little information is available about Brazil's Pantanal woodland savannas. This work involved the development ...
Conditional vs Unconditional Quantile Regression Models: A Guide to Practitioners
(Pontificia Universidad Católica del PerúPE, 2022)