Quantil regression of eariable coefficient single index can be added model with longitudinal data
International Journal of Development Research
Quantil regression of eariable coefficient single index can be added model with longitudinal data
Received 19th January, 2017; Received in revised form 17th February, 2017; Accepted 04th March, 2017; Published online 20th April, 2017
Copyright©2017, XIA Ya-feng and ZHAO Yu-huan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this paper, we consider the problem of quantile regression for the variable-coefficient single-index model which can be added to the vertical data. An estimating method is used to estimate the variable-coefficient single-scale model, and the unknown function is obtained. In this paper, we use the method of simulation to illustrate the validity of the proposed method and the validity of the proposed method. In some cases, we prove that the obtained quantile estimate has progressive normality In addition, Practicality.
