-sample linear regression model with missing response data. The commonly used empirical likelihood ratio is not concave for this …

Additive varying coefficient models are a natural extension of multiple linear regression models, allowing the …

linear regression model. The practical implications of our approach are illustrated by means of a recent survival study on …

abstention in two recent French elections in the Parisian agglomeration, a linear regression is launched on three different …

Motivated by the problem of learning a linear regression model whose parameter is a large fixed-rank non …

describe a general methodology to impose (observation-specific) constraints for the class of linear regression estimators using …

correlation coefficients between the data and those collected by the AT. Linear regression model is used to estimate the average … linear regression model has shown good performance in terms of high level of agreement for the data series, estimated data …This work is concerned with the estimation of onshore wind resources in the coast of Ceará, Brazil by using the linear …

two proposed MLP ANN models are evaluated on real data of a Chinese multiproduct pipeline, and compared with two linear … regression and two support vector machine (SVM) models which are produced using different inputs. Results show that the two MLP …