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Oedometer consolidation test analysis by nonlinear regression
(Amer Soc Testing MaterialsW ConshohockenEUA, 2008)
Heteroscedastic Nonlinear Regression Models
(TAYLOR & FRANCIS INCNEW YORK, 2010)
In this article, we present a generalization of the Bayesian methodology introduced by Cepeda and Gamerman (2001) for modeling variance heterogeneity in normal regression models where we have orthogonality between mean and ...
Prevalence of Treponema Species Detected in Endodontic Infections: Systematic Review and Meta-regression Analysis
(Elsevier B.V., 2015-05-01)
Introduction: This systematic review and meta-regression analysis aimed to calculate a combined prevalence estimate and evaluate the prevalence of different Treponema species in primary and secondary endodontic infections, ...
A fast electric load forecasting using neural networks
(2000-12-01)
The objective of this work is the development of a methodology for electric load forecasting based on a neural network. Here, it is used Backpropagation algorithm with an adaptive process based on fuzzy logic. This methodology ...
A fast electric load forecasting using neural networks
(2000-12-01)
The objective of this work is the development of a methodology for electric load forecasting based on a neural network. Here, it is used Backpropagation algorithm with an adaptive process based on fuzzy logic. This methodology ...
Exploratory Approach to the use of Techniques of Regression Analysis and Pooled Analysis in Studies of Consumer Behavior
(FUND ESCOLA COMERCIO ALVARES PENTEADO-FECAP, 2010)
This paper is part of a large study to assess the adequacy of the use of multivariate statistical techniques in theses and dissertations of some higher education institutions in the area of marketing with theme of consumer ...
Short-term multinodal load forecasting in distribution systems using general regression neural networks
(2011-10-05)
Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, it is necessary a technique that is precise, ...
Short-term multinodal load forecasting in distribution systems using general regression neural networks
(2011-10-05)
Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, it is necessary a technique that is precise, ...
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 ...