我们也研究了估计的一致性和渐近正态性质。

The consistency and asymptotic normality behaviors are also investigated for the estimators.

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进一步证明了未知函数的M-估计的弱一致性和渐近正态性，参数的M-估计的弱一致性。

The weak consistence and the asymptotic normality of the robust M-estimate of the unknown function are given, and the weak consistence of the robust M-estimate of the unknown parameter is established.

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对一类具有渐近正态的统计量，找到了适用于它们的共同的随机加权逼近方法，并研究了它的相合性、一致及非一致逼近速度。

In this paper we find an uniformly random weighting method to statistics admitting asymptotic normality and study its consistency and convergence rates of uniformity and nonuniformity.

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