随机删失下位置-刻度模型中的强相合与渐近正态估计

Strong Consistent and Asymptotic Normal Estimators in Local-Scale Model Under Random Censorship

在删失分布未知的情形下，证明了所定义的位置─刻度模型中参数估计的强相合性与渐近正态性．在证明估计的渐近正态性时，使用了点过程鞅方法．

In this case that censoring distribution function is unknown, the estimat0rs ofparameters in local-scale m0del are defined. And strong consistency and asymptotic nor-mality of the estimator proposed are proved, respectively. Counting process martingaltechniques are used in the proof of the asymptotic n0rmality.