人们普遍认为要从理论上通过数学分析的方法来论证不连序系列样本概率权重矩的偏倚性是很困难的。
It is considered difficult to analytically prove whether sample probability weighted moments with discrete series are unbiased estimators.
在小样本的情况下，局部矩估计可以给出参数较理想的区间估计。
Second, the local moment estimation may give the more ideal interval estimation to the parameter under small sampling condition.
本文引进了局部分布、局部矩、局部矩法估计、样本局部矩和局部分布的矩确定等概念。
In this paper, some new concepts on the local moment, local distribution and the method of the local moment estimation are proposed.
本文给出了总体方差矩估计检验的样本崩溃点，并分析了该样本崩溃点的渐近正态性。
In this paper, We give the sample breakdown point of a test for moment estimation of population variance and analyze the asymptotically normal characteristic of the sample breakdown point.
针对瑞利分布，在全样本场合下给出了参数的矩估计、极大似然估计和区间估计。
For the Rayleigh distribution, the moment estimate; the maximum likelihood estimate and the interval estimate of the parameter are given based on the full sample.
针对瑞利分布，在全样本场合下给出了参数的矩估计、极大似然估计和区间估计。
For the Rayleigh distribution, the moment estimate; the maximum likelihood estimate and the interval estimate of the parameter are given based on the full sample.
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