Abstract
The selection of relevant variables in the model is one of the important problems in regression analysis. Recently, a few methods were developed based on a model free approach. A multilayer feedforward neural network model was proposed for developing variable selection in regression. A simulation study and real data were used for evaluating the performance of proposed method in the presence of outliers, and multicollinearity.
DOI
10.22237/jmasm/1462077120
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
