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Author:

Xu, Dengke (Xu, Dengke.) | Du, Jiang (Du, Jiang.) (Scholars:杜江)

Indexed by:

Scopus SCIE

Abstract:

This paper presents the nonparametric quantile regression estimation for the regression function operator when the functional data with the responses missing at random are considered. Then, the large sample properties of the proposed estimator are established under some mild conditions. Finally, a simulation study is conducted to investigate the finite sample properties of the proposed method.

Keyword:

Inverse probability weighting estimator Quantile regression Functional data analysis Asymptotic normality Missing at random

Author Community:

  • [ 1 ] [Xu, Dengke]Zhejiang Agr & Forestry Univ, Dept Stat, Hangzhou 311300, Peoples R China
  • [ 2 ] [Du, Jiang]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 杜江

    [Du, Jiang]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

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Related Keywords:

Source :

METRIKA

ISSN: 0026-1335

Year: 2020

Issue: 8

Volume: 83

Page: 977-990

0 . 7 0 0

JCR@2022

ESI Discipline: MATHEMATICS;

ESI HC Threshold:46

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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