Composite quantile estimation in partially functional linear regression model with randomly censored responses

Chengxin Wu; Nengxiang Ling; Philippe Vieu; Guoliang Fan

doi:10.1007/s11749-024-00946-6

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Composite quantile estimation in partially functional linear regression model with randomly censored responses

Chengxin Wu Nengxiang Ling Philippe Vieu Guoliang Fan

Year: 2024 Journal: Test Vol: 34 (1)Pages: 28-47 Publisher: Springer Science+Business Media

DOI: 10.1007/s11749-024-00946-6

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Keywords:

Mathematics Estimator Quantile Censoring (clinical trials) Statistics Applied mathematics Asymptotic distribution Quantile function Parametric statistics Quantile regression Probability distribution

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Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Composite quantile estimation in partially functional linear regression model with randomly censored responses

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