然而，目前国内外有关协方差矩阵正定性的研究结果并不多，并且大多是集中在连续型样本协方差矩阵方面。
However, there have been few outcomes about the positive definitiveness of covariance matrix, most of which have been restricted to the Covariance-matrix of continuous sample.
研究结果表明，在样本分布和量化级数不变时，泛化均方差和学习均方差是权调整率的非增函数。
Research results indicate that generalization ability and learning accuracy are the non decreasing function of weight adjusting ratio.
分析当多元随机变量协方差阵正定时，各随机分量应满足的关系，并结合多项分布研究离散型与连续型样本协方差阵的不同。
And studying the difference of positive defined matrix of discrete and continuous sample by using of mal-distribution and the relationship among weights.
最后，方差分析是短的方差分析，它是用来比较2个样本的装置。
Finally, ANOVA is short for analysis of variance, it is used to compare the means of more than 2 samples.
重权数方法与重抽样方法类似，也是利用计算机的优势通过重复获得大量不同的子样本的重权数估计目标参数的估计量和方差估计量，是一种稳健、通用、有效的方差估计方法。
Replicate weight, which is similar with replicated sample method, gets a lot of replicated weights to obtain the estimators by computer, it is also a robust, common and effective method.
重权数方法与重抽样方法类似，也是利用计算机的优势通过重复获得大量不同的子样本的重权数估计目标参数的估计量和方差估计量，是一种稳健、通用、有效的方差估计方法。
Replicate weight, which is similar with replicated sample method, gets a lot of replicated weights to obtain the estimators by computer, it is also a robust, common and effective method.
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