An overdispersed count regression model for analyzing road accident fatalities and injuries in Bangladesh. [PDF]
Newaz MN +4 more
europepmc +1 more source
Expression of Concern: Modified Liu estimators in the linear regression model: An application to Tobacco data. [PDF]
PLOS One Editors.
europepmc +1 more source
The breakdown behavior of the maximum likelihood estimator in the logistic regression model. [PDF]
: In this note we discuss the breakdown behavior of the Maximum Likelihood (ML) estimator in the logistic regression model. We formally prove that the ML-estimator never explodes to infinity, but rather breaks down to zero when adding severe outliers to ...
Croux, Christophe +2 more
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Nonparametric regression as an example of model choice [PDF]
Nonparametric regression can be considered as a problem of model choice. In this paper we present the results of a simulation study in which several nonparametric regression techniques including wavelets and kernel methods are compared with respect to ...
Davies, Paul Lyndon +2 more
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Adaptive regression model for Parkinson's disease diagnosis from speech signals using Box-Cox-based clustering and extremely randomization. [PDF]
Essam M +4 more
europepmc +1 more source
Hybrid PSO-SVM and symbolic regression model for agricultural water demand prediction. [PDF]
Lv H, Zhao Y, Wang W, Hou K, Zheng X.
europepmc +1 more source
Goodness-of-Fit Tests in Nonparametric Regression
AMS classifications: 62G08, 62G10, 62G20, 62G30; 60F17.Bootstrap;empirical process;goodness-of-fit;location-scale regression;model diagnostics;nonparametric regression;test for independence;weak ...
Einmahl, J.H.J., Keilegom, I. van
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Application of a Modified Generalized Regression Neural Networks Algorithm in Economics and Finance
In this paper we propose an alternative and modified Generalized Regression Neural Networks Autoregressive model (GRNN-AR) in S&P 500 and FTSE 100 index returns, as also in Gross domestic product growth rate of Italy, USA and UK. We compare the forecasts
Giovanis, Eleftherios
core
A latent class location-scale regression model with an application to calorie intake data. [PDF]
Zhang X +3 more
europepmc +1 more source
Efficient Estimation of an Additive Quantile Regression Model
In this paper two kernel-based nonparametric estimators are proposed for estimating the components of an additive quantile regression model. The first estimator is a computationally convenient approach which can be viewed as a viable alternative to the ...
Zerom, Dawit +2 more
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