%0 Journal Article
%T Analysis of semi-parametric single-index models by using MAVE-method based on some kernel functions
%J -
%D 2017
%R 10.14419/ijasp.v5i1.7258
%X In this paper, we used many forms of kernel functions with minimum average variance estimation (MAVE) method [Xia2002] we called the proposed methods (MAVE-Biweight), (MAVE-Epanechnikov ) and .(MAVE-Gaussian ) for estimation the parameters and the link function of the single ¨C index model (SIM) comparing with other methods of estimation . to evaluate the performing of the various methods s simulation and a real data have been used, conclusions showed that the (MAVE- Gaussian) method in this paper gave better results compared with other methods depending on the mean squared error (MSE) and mean Absolute error (MAE) criterion for comparison.
%U https://www.sciencepubco.com/index.php/IJASP/article/view/7258