This paper considers statistical inference for semiparametric varying coefficient partially linear models with error-prone linear covariates. An empirical likelihood based statistic for parametric component is developed to construct confidence regions. The resulting statistic is shown to...

Composite quantile regression with randomly censored data is studied. Moreover, adaptive LASSO methods for composite quantile regression with randomly censored data are proposed. The consistency, asymptotic normality and oracle property of the proposed estimators are established. The proposals...

This paper considers the testing problem of the linear errors-in-variables (EV) model with random censored data. We propose two novel statistics based on the difference between the corrected residual sum of squares (RSS) and empirical likelihood (EL) under the null and alternative hypotheses....

This paper considers the weighted composite quantile (WCQ) regression for linear model with random censoring. The adaptive penalized procedure for variable selection in this model is proposed, and the consistency, asymptotic normality and oracle property of the resulting estimators are also...

Purpose: This paper aims to examine the critical role played by cultural flow in fostering successful expatriate cross-border transitions. Design/methodology/approach: The authors develop and test a model on the interplay among cultural intelligence, organizational position level, cultural flow...