NONPARAMETRIC ROBUST ESTIMATION OF RANDOM RIGHT CENSORSHIP AND LEFT TRUNCATION REGRESSION MODEL FOR DEPENDENT DATA
This paper deals with a family of robust nonparametric estimators for a regression function when the interest variable is subject to random right censorship and left truncation. The almost sure convergence and asymptotic normality of a kernel estimator of mixing data are obtained.
robust regression, left truncation and right censorship, kernel estimator, the almost sure convergence, asymptotic normality, mixing data.
