Now showing items 11-20 of 10360
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
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 ...
Mapeamento da produtividade e perímetro do tronco de clones de seringueira em argissolo vermelho amarelo
This work had the objective to evaluate the dry rubber yield (BS), to correlate this with the girth (PT), as well as evaluating the spatial variability of these in a Kandiustalf, cultivated with the rubber clones PB 235 ...
A Log-Linear Regression Model for the Beta-Weibull Distribution
(TAYLOR & FRANCIS INC, 2011)
We introduce the log-beta Weibull regression model based on the beta Weibull distribution (Famoye et al., 2005; Lee et al., 2007). We derive expansions for the moment generating function which do not depend on complicated ...
Dealing with Uncertainty in Polymer Manufacturing by Using Linear Regression Metrics and Sensitivity Analysis
In the polymers industry, models are heavily parameterizised, and the effect of each parameter on model outputs has not been extensively studied. A wide range of values for most of model's parameters can be found in ...
Heteroscedastic Log-exponentiated Weibull Regression Model
(Taylor and Francis Ltd., 2017)
Assessing the significance of covariates in output oriented data envelopment analysis with two stage regression models.
(WSEAS Transactions on Systems, v. 13, p. 440-449, 2014., 2014)