Quantile regression for robust inference on varying coefficient partially nonlinear models

Jing Yang; Fang Lü; Hu Yang

doi:10.1016/j.jkss.2017.12.002

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Quantile regression for robust inference on varying coefficient partially nonlinear models

Jing Yang Fang Lü Hu Yang

Year: 2017 Journal: Journal of the Korean Statistical Society Vol: 47 (2)Pages: 172-184 Publisher: Elsevier BV

DOI: 10.1016/j.jkss.2017.12.002

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Keywords:

Quantile regression Mathematics Quantile Estimator Robustness (evolution) Inference Statistical inference Nonlinear regression Statistics Nonlinear system Robust regression Applied mathematics Regression analysis Econometrics Computer science Artificial intelligence

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Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Quantile regression for robust inference on varying coefficient partially nonlinear models

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