Analysis of semi-parametric single-index models by using MAVE-method based on some kernel functions
2017 ◽
Vol 5
(1)
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pp. 37
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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 paper gave better results compared with other methods depending on the mean squared error (MSE) and mean Absolute error (MAE) criterion for comparison.
2010 ◽
Vol 52
(2)
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pp. 201-219
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A probability based method for selecting the optimal personalized treatment from multiple treatments
2017 ◽
Vol 28
(3)
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pp. 749-760
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2022 ◽
Vol ahead-of-print
(ahead-of-print)
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