Buscar
Mostrando ítems 11-20 de 14865
Comparison of Regression and Neural Networks Models to Estimate Solar Radiation
(Instituto de Investigaciones Agropecuarias, INIA, 2010)
Corrected Maximum Likelihood Estimators in Linear Heteroskedastic Regression ModelsCorrected Maximum Likelihood Estimators in Linear Heteroskedastic Regression Models
(Sociedade Brasileira de Econometria, 2008)
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 ...
Um modelo matemático para estudo de otimização do consumo de energia elétrica
(Universidade Estadual Paulista (Unesp), 2007-03-22)
Neste trabalho, otimiza-se o funcionamento de uma fábrica desidratadora de forragens localizada na Espanha. Esta possui processos seqüenciados, secagem, produção de fardos de feno e produção de grãos, que para serem ...
Um modelo matemático para estudo de otimização do consumo de energia elétrica
(Universidade Estadual Paulista (UNESP), 2014)
Linear functional regression: The case of fixed design and functional response
(Universidad de San Andrés. Departamento de Matemáticas y Ciencias, 2001-06)
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 ...
Modeling variability in generalized linear models
This work proposes joint modeling of parameters in the biparametric exponential family, including heteroscedastic linear regression (non linear regression) models; with joint modeling of the mean and precision (the ...