Composite Quantile Regression Estimation for Left Censored Response Longitudinal Data
Composite Quantile Regression Estimation for Left Censored Response Longitudinal Data is a scholarly work, published in 2018 in ''Acta Mathematicae Applicatae Sinica''. The main subjects of the publication include regularization, Quantile regression, econometrics, mixture model, panel data, project management estimation, statistics, missing data, regression analysis, quantile, mathematics, and regression. For left censored response longitudinal data, authors propose a composite quantile regression estimator (CQR) of regression parameter.