| �����Ͳ������Ը��Ϸ�λ���ع�ģ�͵Ĺ��� |
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| 引用本文： | ��ƽ,����ռ,�Ž�. �����Ͳ������Ը��Ϸ�λ���ع�ģ�͵Ĺ���[J]. 应用概率统计, 2017, 34(2): 170-190 |
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| 作者姓名： | ��ƽ ����ռ �Ž� |
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| 作者单位： | ???????????????????, ????????????????????; ???????????????????; ???????????????????. |
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| 摘 要： |
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| 关 键 词： | ????????????? ???????? ?????λ????? ?????????????? |
Estimation in Functional Partial Linear Composite Quantile Regression Model |
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| YU Ping,ZHANG ZhongZhan,DU Jiang. Estimation in Functional Partial Linear Composite Quantile Regression Model[J]. Chinese Journal of Applied Probability and Statisties, 2017, 34(2): 170-190 |
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| Authors: | YU Ping ZHANG ZhongZhan DU Jiang |
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| Affiliation: | College of Applied Sciences, Beijing University of Technology, School of Mathematics and Computer Science, Shanxi Normal University; College of Applied Sciences, Beijing University of Technology; College of Applied Sciences, Beijing University of Technology |
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| Abstract: | This paper studies estimation in functional partiallinear composite quantile regression model in which the dependent variableis related to both a function-valued random variable in linear form and areal-valued random variable in nonparametric form. The functional principalcomponent analysis and regression splines are employed to estimate the slopefunction and the nonparametric function respectively, and the convergencerates of the estimators are obtained under some regularity conditions.Simulation studies and a real data example are presented for illustrationof the performance of the proposed estimators. |
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| Keywords: | functional data analysis spline estimate composite quantile regression functional principal component analysis |
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