Least product relative error estimation with right censoring

The multiplicative regression model with right censoring was considered. Under the random right censorship, the criterion of the least product relative error (LPRE) was extended to the case with right censoring. Under some regular conditions, the consistency and asymptotic normality were established. Finally, some simulations were conducted to examine the finite performance of the proposed method.