A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Analysis of semi-parametric single-index models by using MAVE-method based on some kernel functions
2017
International Journal of Advanced Statistics and Probability
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 – 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
doi:10.14419/ijasp.v5i1.7258
fatcat:2v3nlkmkhzaojolphi42nhl6ue