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Quantile regression for varying coefficient spatial error models

Authors :
Erqian Li
Maozai Tian
Xiaowen Dai
Source :
Communications in Statistics - Theory and Methods. 50:2382-2397
Publication Year :
2019
Publisher :
Informa UK Limited, 2019.

Abstract

This paper investigates the quantile regression estimation for spatial error models with possibly varying coefficients. The local polynomial fitting scheme is employed to approximate the varying co...

Subjects

Subjects :
Statistics and Probability
Statistics::Theory
Polynomial
021103 operations research
Spatial error
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
Statistics::Computation
Quantile regression
010104 statistics & probability
Statistics::Methodology
Applied mathematics
0101 mathematics
Mathematics

Details

ISSN :
1532415X and 03610926
Volume :
50
Database :
OpenAIRE
Journal :
Communications in Statistics - Theory and Methods
Accession number :
edsair.doi...........772ca00278a1f23b2bf649cbf8583acd

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